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1

Indraningsih, K. S., S. H. Susilowati, D. K. S. Swastika, and Syahyuti. "The optimization of agricultural machinery utilization in enhancing the implementation of modern agricultural programs." IOP Conference Series: Earth and Environmental Science 892, no. 1 (November 1, 2021): 012041. http://dx.doi.org/10.1088/1755-1315/892/1/012041.

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Abstract The provision of agricultural machinery in the Modern Agriculture Program is to overcome labor shortages. However, the utilization of agricultural machinery aid is underutilized. This study aims to analyze the optimization of the use of agricultural machinery in enhancing the implementation of modern agricultural programs. West Sumatera, Central Java, Banten, Bali, and South Sulawesi were purposively chosen as the study areas. The study was conducted in 2017. Respondents of this research were policymakers from central to local institutions, key informants, extension agents, agricultural machinery service providers (UPJA), and farmers. The method used was descriptive explanatory and financial analysis. The results showed that the utilization of agricultural machinery in the Modern Agricultural Program was still not optimal. It was still underutilized. There were several obstacles, both from economic and social aspects. The utilization of 4-wheel tractors and rice transplanters has not been economically managed. As a result, they cannot generate funds for equipment maintenance and the development and UPJA’s sustainability. Not all types of agricultural machinery are socially suitable for farmers’ needs. There is a competition between agricultural machinery uses and workers. Moreover, not all local governments fully supports agricultural machinery uses. To optimize and succeed on the modern agriculture program implementation, agricultural extension workers with certification as UPJA Facilitators are required.
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2

Vitiuk, A. V., and O. A. Smetaniuk. "Economic Interaction of Agricultural Development and Agricultural Machine-Engineering." PROBLEMS OF ECONOMY 4, no. 46 (2020): 134–45. http://dx.doi.org/10.32983/2222-0712-2020-4-134-145.

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The paper deals with the study of the relationship between agricultural development of and agricultural engineering. Production output of certain types of machines and equipment for agriculture are examined. The dynamics of production performance in plant growing and stockbreeding is analyzed. The dynamics of such agricultural development indices as net income, subsidies, taxes, net value added, fixed capital application, etc. are considered. The tripling of output and a steady growth of net profit of agricultural producers are established. It is proven that farm equipment upgrading is less active than net income growth, and thus it was determined that enterprises have the necessary financial resources to generate demand for agricultural machinery. The peculiarities of agricultural machinery production in Ukraine at the present stage are revealed, in particular the causes and consequences of such a situation in production machinery for agricultural enterprises. Two opposite trends in agricultural machinery production are identified, namely, the decline in the production of complex, expensive machinery and the increase in the production of less costly appliances. The condition of the durable equipment in agriculture is analyzed by identifying their value and the degree of wear. Consequences of the increase in the quantity and quality of used machinery in agriculture are revealed. The requirements of agricultural enterprises for the quality of agricultural machinery are identified, and their classification by the requirements for quality, value and service is worked out. The quality requirements include technical and functional characteristics; value requirements consist of equipment prices, discounts, and value-added services. Service requirements comprise quality assurance of information, organizational and maintenance services. In accordance with the established requirements, technical, organizational, economic and social ways to meet these requirements were developed.
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3

Li, Hongchang, Fang Gao, and GuoCai Zuo. "Research on the Agricultural Machinery Path Tracking Method Based on Deep Reinforcement Learning." Scientific Programming 2022 (March 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/6385972.

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With the rapid development of information technology, industry and service industries have achieved rapid development in recent years. Then, looking at the development of agriculture, the popularity of informatization lags far behind industry and service industries, directly hindering the digital development of agriculture. Starting from the current agricultural machinery driving operation scene, this paper carried out a simplified research on the traditional agricultural machinery driving operation method through the agricultural machinery kinematics model, and based on the related theory of deep reinforcement learning to study the agricultural machinery path tracking in the agricultural operation scene, it carried out the controller design, built the agricultural machinery autonomous path tracking framework operating mechanism under deep reinforcement learning, and further researched through experimental design and found that the agricultural machinery autonomous path tracking control can achieve better automatic control after empirical learning. I-DQN algorithm enables agricultural robots to adapt to the environment faster when performing path tracking, which improves the performance of path tracking. It has important guiding significance for further promoting the automatic navigation and control of agricultural machinery to realize the efficient operation of agricultural mechanization.
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4

Sun, Qin, Zuo Li Li, Hui Yu, and Jin Sheng Zhang. "The Analysis on Environmental Protection, Energy Saving and Green Design of Agricultural Machinery." Applied Mechanics and Materials 668-669 (October 2014): 1538–41. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1538.

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The energy saving and environmental protection design of agricultural machinery is a new design concept. Based on the analysis of meaning and significance of agricultural machinery energy saving and environmental protection design, Elaborated the trends of energy saving and environmental protection of agriculture machinery. The paper also pointed out that the green design is the inevitable trend of the development of agricultural machinery.
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5

Cong, Hong Bin, Ru Xin Li, and Xin Yue Han. "Application of Kinematics Simulation Technology in Agricultural Machinery Design." Advanced Materials Research 97-101 (March 2010): 3447–50. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3447.

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In this paper, the research status and the significance of the simulation technology were discussed, and the necessity introducing the simulation technology into the agricultural machinery design was analyzed. Through the material kinematics simulation in processing, both the component kinematics simulation and the system dynamic simulation of the agricultural machinery, a specific application of the simulation technology in the agriculture machinery design was displayed. Application of the simulation technology in the agricultural machinery design has a vital significance for enhancing their design and development ability, improving their product performance, as well as promoting new agricultural machinery and the agricultural mechanization.
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6

Chen, T. "Current Situation and Development Trend of China’s Agricultural Machinery Distribution." Agricultural Machinery and Technologies 15, no. 4 (December 17, 2021): 19–23. http://dx.doi.org/10.22314/2073-7599-2021-15-4-19-23.

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In the year of 2021, the Chinese government allocated 19 billion RMB for agricultural machinery subsidy. The data that accurately describes the scale of China’s agricultural machinery market could be calculated by analyzing the national agricultural machinery purchase investment, the total value of the parts market and the replacement market could be inferred. Since the implementation of agricultural machinery purchase subsidies, China’s comprehensive mechanization rate of crop cultivation, planting and harvesting has increased rapidly. In 2019, the national comprehensive mechanization rate of crop cultivation, planting and harvesting exceeded 70 percent, and the production of the three major food crops of wheat, rice and corn was basically mechanized. This paper analyzes the scale of the complete machinery market, the market scale of key products in the Chinese agricultural machinery market, the basic situation of Chinese agricultural machinery distribution companies, the basic situation of the Chinese agricultural machinery purchasing groups, and the main gathering platforms of the Chinese agricultural machinery distribution market, explaining the current status of China’s agricultural machinery distribution, putting forward suggestions for the development of China’s agricultural machinery distribution market. There are major contradictions in the agricultural machinery market in China. The most important one is between supply and demand. In terms of crops, the level of comprehensive mechanization of wheat, rice and maize is relatively high, while the level of comprehensive mechanization of cash crops such as cotton oil, sugar and vegetable tea is relatively low; from a regional perspective, the level of mechanization in the northern plains is relatively high, and the level of mechanization in the hilly and mountainous areas of the south is relatively low; from an industrial point of view, the level of mechanization of planting industry is relatively high, while the level of mechanization of animal husbandry, fi shery and processing is low. Meanwhile, the contradiction between manufacturers and distributors, as well as the end-users is further intensifying. This article attempts to explain the effi ciency and benefi t of agriculture and the return on investment of agricultural machinery purchase. Only when agriculture is competitive, has good effi ciency and benefi ts, and the purchase of agricultural machinery has a good rate of return on investment, can the industry develop healthily.
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7

Fu, Li-Sha, Tao Qin, Gan-Qiong Li, and San-Gui Wang. "Efficiency of Agricultural Insurance in Facilitating Modern Agriculture Development: From the Perspective of Production Factor Allocation." Sustainability 16, no. 14 (July 20, 2024): 6223. http://dx.doi.org/10.3390/su16146223.

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Agricultural insurance is instrumental in consolidating the gains of poverty alleviation and advancing rural revitalization. It significantly aids in the efficient allocation of agricultural production factors, which in turn enhances agricultural output and bolsters the evolution of modern agriculture. Therefore, utilizing data from 583 household surveys and employing endogenous transformation and intermediary effect models, this paper analyzes the production factor allocation effect and specific mechanism of agricultural insurance. It focuses on small-scale farmers and new agricultural operators, exploring how insurance contributes to the advancement of modern agricultural practices. The results show the following: (1) Agriculture insurance can significantly affect the agricultural scale input behavior of farmers such as land input scale and input scale, agricultural machinery application behavior such as the degree of mechanization and water conservancy application, agricultural technology adoption behavior, and planting structure selection behavior, thereby helping to modernize agriculture. (2) There is heterogeneity in the impact of agriculture insurance on the allocation of production factors for small farmers and new agricultural operators. For small farmers, agriculture insurance has a significant promoting effect on their agricultural machinery application behavior, agricultural technology adoption behavior, and planting structure selection behavior. For new agricultural operators, agriculture insurance significantly promotes their agricultural scale input behavior, agricultural machinery application behavior, and agricultural technology adoption behavior. (3) In terms of the mechanism of action, agriculture insurance mainly promotes agricultural scale input behavior through land transfer, facilitates agricultural machinery application behavior by purchasing agricultural machinery equipment and services, encourages agricultural technology adoption behavior by strengthening agricultural technology training, and enhances professional production levels by increasing the scale of insured planting, thereby contributing to the development of modern agriculture. Based on this, several policy suggestions have been proposed. These include enhancing the directionality of agriculture insurance policies, improving the collaborative interaction mechanism between agriculture insurance and agricultural credit financing, and adopting certain reward and punishment measures to curb moral hazard.
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8

Yang, Siyu, and Wei Li. "The Impact of Socialized Agricultural Machinery Services on the Labor Transfer of Maize Growers." Agriculture 13, no. 6 (June 14, 2023): 1249. http://dx.doi.org/10.3390/agriculture13061249.

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Socialized agricultural machinery services, effectively cracking the “who to plant, how to plant” dilemma, are an important grasp of the development of modern agriculture. Based on the specialization division of labor theory, using the 2019 national survey data of maize growers in 13 provinces, the instrumental variable method and systematic generalized moment estimation (GMM) were used to overcome the endogeneity problem of mutual causality between socialized agricultural machinery services and labor transfer, analyze the impact of socialized agricultural machinery services on the labor transfer of maize growers and its link to heterogeneity, and explore the impact effect in different terrain conditions, part-time. We also explored the cohort differences in the effect in different terrain conditions and degree of part-time work. The endogenous switching regression model (ESR) was also applied to construct a counterfactual framework to further analyze the impact effect of socialized agricultural machinery services on labor transfer. The results showed that socialized agricultural machinery services could effectively promote labor transfer among maize farmers. Compared with maize farmers in other terrain conditions and part-time degree, the impact effect of agricultural machinery socialization services on labor transfer of flatland and pure farming households was more significant. Socialized agricultural machinery services play an important role in driving traditional farming households to labor transfer and realizing their organic connection with modern agriculture.
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9

Liu, Hui, Yujie Qiao, Guofa Zhao, Jingping Cheng, and Zhijun Meng. "Agricultural Machinery Abnormal Trajectory Recognition." International Journal of Machine Learning and Computing 11, no. 4 (August 2021): 291–97. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1050.

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The service system of supervision of agricultural machinery subsoiling operation enables acquisition of a large amount of agricultural machinery movement track data. These trajectories include not only farmland operation track data, but also road driving track data. Their spatial distribution characteristics and attribute data are different. In this paper, we make a study of the abnormal trajectory data in data set, and propose an abnormal trajectory recognition algorithm based on DBSCAN clustering. According to the attribute data of agricultural machinery trajectory, the trajectory is divided to form different types of motion trajectory, then to judge the spatial distribution of different types of agricultural machinery tracks. If the attribute data of the tracks are inconsistent with their spatial distribution, it will be judged as abnormal tracks. The experimental results show that both the accuracy of the algorithm and the recall rate is 98.61%, which can identify the abnormal tracks of agricultural machinery.
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10

Syahyuti, K. S. Indraningsih, D. K. S. Swastika, S. H. Susilowati, and S. Suharyono. "The role of stakeholders to support implementation of modern agricultural programs." IOP Conference Series: Earth and Environmental Science 892, no. 1 (November 1, 2021): 012024. http://dx.doi.org/10.1088/1755-1315/892/1/012024.

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Abstract The Ministry of Agriculture has implemented the Modern Agriculture Program since 2016 by distributing agricultural machinery to farmers, in order to improve Indonesian agriculture which is characterized by small scale, low productivity, low labor productivity, and national production that is not self-sufficient. The objective of this research is to analyze the role of stakeholders to support the implementation of the programs. South Sulawesi was chosen purposively as the research location. The interviewees are service institutions from central to regional, key informants, farmer groups, extension agents, agricultural machinery service providers, and individual farmers. The analysis used was stakeholder analysis. The results showed that the main actors in the Modern Agricultural Program were machinery operators and UPJA administrators. The beneficiaries of Modern Agricultural services are mainly the share and tenant farmers. The machinery operators have the strongest position. In terms of the external network, the machinery operators and “area brokers” are the most important parties and determine the operation of the machinery. In order for the Modern Agriculture Program to provide positive benefits to all parties, it is necessary to strive for a system of work with fair profit sharing and to provide wider opportunities for businessmen to take part in the program.
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11

Vitkovskyi, Yurii, and Hanna OREL. "Agricultural engineering as a factor in creating competitive advantages in agribusiness." Actual problems of innovative economy, no. 2020/3 (June 25, 2020): 5–10. http://dx.doi.org/10.36887/2524-0455-2020-3-1.

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Introduction. In today's economic environment, intensive production is the highest priority due to limited resources. It is important for agricultural enterprises to implement methods of intensification of activities, in particular through the use of advanced technology. The purpose of the research is to substantiate the impact of agricultural engineering on the creation of competitive advantages in agribusiness. Results. It is established that the Ukrainian machine building industry is characterized by negative tendencies. The dynamics of the agricultural machine building market is analyzed and the unstable nature of changes is determined - market volume growth during the period 2012-2016 and decrease during 2017-2018. The growth rates of volumes and structure of segments of the market of agricultural engineering (in terms of crop production, animal husbandry, universal engineering and spare parts) are characterized. It is determined that most of the equipment falls on the crop segment. The dynamics of availability, renewal and disposal of agricultural machinery in the activities of domestic agricultural enterprises is charac-terized. The reduction tendencies of the quantity of agricultural machinery by segments are noted. The market of imported agricultural machinery is characterized. The information on the production of certain types of mechanical engineering products for agriculture for the period 2013-2018 is summarized. The influence of agricultural engineering as a supporting industry on the competitiveness of domestic agriculture is characterized. The information on the use of agricultural machin-ery in households is summarized. Conclusions. Agricultural engineering has a significant impact on the formation of competitive advantages of agri-cultural businesses. The agricultural sector is characterized by a reduction in the use of agricultural machinery and a focus on imported machinery. Keywords: agriculture, agricultural machinery, agricultural machine building, competitiveness, competitive ad-vantages, factor.
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12

Chi, Yuanying, Wenbing Zhou, Zhenyu Wang, Yu Hu, and Xiao Han. "The Influence Paths of Agricultural Mechanization on Green Agricultural Development." Sustainability 13, no. 23 (November 24, 2021): 12984. http://dx.doi.org/10.3390/su132312984.

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For sustainable agricultural development, increasing efforts are put on promoting agricultural mechanization and green agricultural development all over the world. Based on the panel data of Chinese provincial agriculture from 2002 to 2018, the System Generalized Method of Moments model and mediation model are constructed to explore the paths of agricultural mechanization affecting green agricultural development. The results show that agricultural mechanization can not only promote the green agricultural development directly but also indirectly by transferring the agricultural labor force and increasing fertilizer input. However, because of the surge of pesticide demand, agricultural mechanization also leads to serious pollution indirectly. With the development of large-scale agricultural machinery, the direct promotion of agricultural machinery on green agricultural development will be more significant. However, it will be less efficient to substitute more agricultural labor force with machinery power. The problem of pesticide abuse will also become more serious. Therefore, it is important for green agricultural development to encourage human capital investment in agricultural mechanization. In addition, more attention should be paid to improving the input efficiency of fertilizers and pesticides so that agriculture will be sustainable in production and the ecological environment.
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13

Liang, Bohao. "Research on digital production of agricultural machinery based on mathematical modeling." Applied and Computational Engineering 9, no. 1 (September 25, 2023): 254–58. http://dx.doi.org/10.54254/2755-2721/9/20230107.

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Agricultural production is a basic industry that can make a country thrive, and agricultural machinery can guarantee the efficiency and development of agricultural production. However, at present, agricultural mechanization production in many countries is still facing various problems, so reasonable measures should be taken to improve the current situation. With the rapid development of digital technology today, digitization of agricultural machinery can well solve some existing problems. In order to meet the needs of agriculture, this study uses mathematical modeling technology to discuss the digital production of agricultural machinery. The results show that the optimization of production through mathematical modeling technology can significantly improve the quality of equipment, reduce manufacturing costs, enhance production efficiency, and promote agricultural development.
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14

Trubitsyn, N. V., and V. N. Trubitsyn. "Internet Services for Calculating Agricultural Equipment Indicators." Machinery and Equipment for Rural Area, no. 12 (December 22, 2023): 32–34. http://dx.doi.org/10.33267/2072-9642-2023-12-32-34.

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The main paths of development of digitalization of agriculture are considered and two programs used to calculate a number of indicators of agricultural machinery are presented. Analysis of existing methods of using Internet services was carried out and the examples of their use on the KubNIITiM portal for calculating indicators based on test results of agricultural machinery are provided.
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Kiritsa, A. A. "Leasing in Russian agricultural economy: current stage of development." UPRAVLENIE / MANAGEMENT (Russia) 12, no. 1 (March 24, 2024): 36–48. http://dx.doi.org/10.26425/2309-3633-2024-12-1-36-48.

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The purpose of the study is to analyze leasing sustainable development as the main investment mechanism of the Russian agrarian sector technical re-equipment. The author uses general scientific methods (analysis and synthesis, economic and statistical methods, graphical methods, etc.). The current state of the domestic agrarian sector technical equipment, the development of agricultural machinery leasing market development, issues and prospects for the use of agrarian leasing at the present stage have been considered. Considering the current situation in the domestic market, decreased prices for agricultural products and outstripping growth of prices for equipment, domestic agricultural producers need systemic state support to maintain the machinery and tractor fleet renewal pace. In conditions of agricultural machinery and investment resources for its reproduction deficit, leasing is one of the effective tools in solving the technical potential of the agricultural sector technical potential strengthening issues. The main promising areas of leasing mechanisms application, contributing to technical re-equipment acceleration in the agricultural sector have been proposed (sustainable development projects, national “green taxonomy”, “green” bonds; agricultural machinery market digitalization development; use of leasing mechanisms for the machinery and technology complexes development as a modern form of joint machinery use in agriculture). The proposed areas will ensure systemic development and acceleration of Russian agrarian sector technical re-equipment.
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16

Zhang, Mei, Kai Fang, Danting Zhang, and Dejie Zeng. "Relationship between the evaluation of agricultural scientific and technological innovation capacity and the influencing factors of green agriculture." PLOS ONE 18, no. 11 (November 30, 2023): e0295281. http://dx.doi.org/10.1371/journal.pone.0295281.

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China has limited arable land area, and its output value is increased with enhanced agricultural inputs such as machinery, irrigation, fertilizers, and pesticides. However, this mode is accompanied by an increase in agricultural carbon emissions. With the aim to further examine the driving effect of scientific and technological innovation on economic growth and green agriculture, this study uses the Solow growth model coupled with the Cobb–Douglas production function and vector autoregressive models. Then, the agricultural scientific and technological innovation capacity in Guangdong Province during 2006–2020 is evaluated by using the contribution rate of agricultural scientific and technological progress (ASTP) as the assessment index. In addition, the carbon footprints of green agricultural indexes such as machinery, irrigation, fertilizers, and pesticides are measured to analyze the relationship between green agriculture and agricultural scientific and technological innovation capacity. Results demonstrate the gradual increase in the contribution rate of ASTP in Guangdong Province. During the 11th, 12th, and 13th Five-Year Plan periods, the rates were 65.09%, 65.94%, and 70.40%, respectively, indicating that the agricultural scientific and technological innovation ability constantly improved. Among the indexes of green agriculture, the carbon footprints of machinery have a significant impact on agricultural scientific and technological innovation, which is quickly transformed into machinery. Such innovation requires the driving force of science and technology itself, which have relatively significant and rapid effects. On the basis of the results, corresponding policy suggestions are proposed: increasing investments in scientific and technological innovation in the agricultural field, vigorously developing new energy-saving and emission reduction products and processes for fertilizers, and increasing the research and promotion of agricultural machinery. The proposed method provides good prospects for the development of agricultural production towards mechanization, intelligence, efficiency, and greenness.
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17

Fuchs, Andreas. "Connected agricultural machinery." ATZoffhighway worldwide 10, no. 4 (November 2017): 3. http://dx.doi.org/10.1007/s41321-017-0057-9.

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18

Xu, Jiahong, Jing Lai, Rui Guo, Xiaoxiao Lu, and Lihong Xu. "Efficiency-Oriented MPC Algorithm for Path Tracking in Autonomous Agricultural Machinery." Agronomy 12, no. 7 (July 12, 2022): 1662. http://dx.doi.org/10.3390/agronomy12071662.

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Path-tracking control algorithms in agriculture typically focus on how to improve the trajectory-tracking performance of autonomous agricultural machinery, and the agricultural productivity is optimized in a two-layer way. The upper operational layer optimizes an optimal tracking trajectory with the best agricultural productivity, and the lower control layer—such as Nonlinear Model Predictive Control (NMPC)—receives this optimized tracking trajectory first, and then steers the vehicle to track this trajectory with high accuracy. However, this two-layer structure cannot improve the agricultural productivity at the control layer online, which makes the agricultural operation sub-optimal. In this paper, we focus on agricultural machinery operational efficiency, to represent agricultural productivity; in order to realize optimizing control to further improve agricultural machinery operational efficiency, a new path-tracking control algorithm, named Efficiency-oriented Model Predictive Control (EfiMPC), is proposed. EfiMPC is intrinsically a nested structure, which can consider the global performance of the whole system defined in the operational layer—like the agricultural machinery operational efficiency considered in this paper—in the control layer online; thus, the agricultural machinery operational efficiency can be improved during the farming operation. An unreachable tracking point, denoted as the pseudo-point, has been proposed, to indicate the agricultural machinery operational efficiency objective in a receding horizon fashion; EfiMPC can utilize this pseudo-point to realize the optimizing control online. A simulation case study was used to test the superiority of the proposed EfiMPC algorithm, and the results show that, compared with the traditional NMPC algorithm, the agricultural machinery operational efficiency realized by EfiMPC was improved by 8.56%; thus, the effectiveness of the EfiMPC has been demonstrated.
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Beshun, O., V. Achkevych, and S. Chuba. "ANALYSIS OF THE DEVELOPMENT SECTORS OF AGRICULTURAL MACHINERY AGRICULTURAL MACHINERY." Праці Таврійського державного агротехнологічного університету 18, no. 2 (2018): 237–46. http://dx.doi.org/10.31388/2078-0877-18-2-237-246.

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20

Aundhakar, Prof Sarika. "Survey On “An Agricultural Equipment Rental System”." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26417.

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Agricultural equipment rental platforms are digital platforms revolutionizing modern farming. These online services provide a bridge between farmers and advanced agricultural machinery. Farmers can conveniently rent specialized equipment, sparing themselves the substantial costs and responsibilities of ownership. Firstly, they significantly reduce the financial burden on farmers by offering cost-effective alternatives to owning expensive machinery. This democratizes access to technology and empowers small-scale or financially constrained farmers to boost their productivity. It also provides facility to hire workers on demand. Moreover, these platforms promote sustainability by optimizing machinery use, reducing the environmental impact, and encouraging a more efficient approach to farming. Overall agricultural equipment rental platforms are pivotal in modern agriculture. They make advanced equipment accessible, lower costs, promote sustainability, and contribute to a more productive farming. Key Words: Agriculture, Farmer, Equipment, Rental, Cost Effective.
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Nasritdinov, A., Jahongir Qosimov, Umida Nasritdinova, Unarbek Edilboyev, and M. Hayitova. "PARALLEL DRIVING SYSTEMS FOR AGRICULTURAL MACHINERY." JOURNAL OF AGRO PROCESSING 5, no. 1 (May 30, 2019): 18–25. http://dx.doi.org/10.26739/2181-9904-2019-5-4.

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22

Антонов, Г. В., and С. И. Иванов. "Agricultural engineering in Russia: promising areas of development." Экономика и предпринимательство, no. 2(139) (May 15, 2022): 70–73. http://dx.doi.org/10.34925/eip.2022.139.2.010.

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В статье анализируется динамика и проблемы обновления сельскохозяйственной техники в России, рассматриваются новые технологии, находящие применение в сельском хозяйстве и финансовые механизмы, которые облегчают приобретение дорогой сельскохозяйственной техники. The article examines the dynamics and problems of upgrading agricultural machinery in Russia, considers new technologies that are used in agriculture and financial mechanisms that facilitate the acquisition of expensive agricultural machinery.
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Hou, Jialin, Jingtao Zhang, Wanying Wu, Tianguo Jin, and Kai Zhou. "Research on Agricultural Machinery Rental Optimization Based on the Dynamic Artificial Bee-Ant Colony Algorithm." Algorithms 15, no. 3 (March 8, 2022): 88. http://dx.doi.org/10.3390/a15030088.

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Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy. To realize agricultural machinery scheduling optimization in cloud services, a dynamic artificial bee-ant colony algorithm (DABAA) is proposed to solve the above problem. First, to improve the practicability of the mathematical model in agricultural production, a dynamic coefficient is proposed. Then the mutation operation is combined with the artificial bee colony (ABC) algorithm to improve the algorithm. Then, iterative threshold adjustment and optimal fusion point evaluation are used to combine the ABC algorithm with the ant colony optimization (ACO) algorithm, which not only improves the search precision but also improves the running speed. Finally, two groups of comparison experiments are carried out, and the results show that the DABAA can obviously improve the running speed and accuracy of cloud services in agricultural machinery rental.
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Abuselidze, George, Valerii Kotliarov, Svitlana Petrychuk, Olga Danylevska-Zhugunisova, and Olga Mohylevska. "Study of structural imbalances in agricultural engineering." E3S Web of Conferences 363 (2022): 01037. http://dx.doi.org/10.1051/e3sconf/202236301037.

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The authors emphasized that the development of the agricultural machinery industry is inextricably linked with the development of agricultural production, and consequently, changes in land use forms and the development of agricultural science, which, in turn, are conditioned by the current socio-political conditions and progress in the field of agricultural knowledge. It is proved that the impetus for the development of domestic agricultural machinery is the agricultural holdings. The authors focused on the fact that state support and regulation of the agricultural machinery market was proposed by stimulating the renewal of the technical park through the improvement of financial leasing, the reduction in the cost of medium- and long-term loans, and the improvement of the procedures for putting equipment into operation. It is noted that in order to preserve the process of updating the machine and tractor fleet and high-tech equipment in agriculture, it is necessary to ensure the effectiveness of state programs to support domestic agricultural enterprises, which will allow the restoration of their financial viability, and this in turn will serve as an impetus to the development of the market of agricultural machinery due to the growing demand for technical means.
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Yang, Siyu, and Wei Li. "The Impact of Socialized Agricultural Machinery Services on Land Productivity: Evidence from China." Agriculture 12, no. 12 (December 2, 2022): 2072. http://dx.doi.org/10.3390/agriculture12122072.

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Under the background of urbanization, rural hollowing out, and aging, it is increasingly urgent to solve the problem of “who will farm the land” to stabilize the foundation of national food security. The socialized agricultural machinery service undoubtedly provides a feasible solution. From the perspective of land productivity, and based on field survey data from 597 farmers in four major wheat-producing provinces in China, this study applied an endogenous switching regression model. By constructing a “counterfactual” analysis framework, this paper’s empirical analysis showed that the socialized agricultural machinery service had a positive impact on the land productivity of wheat production. At the same time, the impact of socialized agricultural machinery services on land productivity was heterogeneous due to the differences in planting scale, terrain, and concurrent business. It can give full play to the positive influence of socialized agricultural machinery services on stable grain yields and increases. It is necessary to guide and support the effective supply of socialized agricultural machinery services in the key links of food production, and to reasonably guide the main providers of socialized agricultural machinery service to provide high-quality services that meet the production needs of small farmers according to local conditions, so as to promote the organic connection between small farmers and the development of modern agriculture.
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Duan, Mingyao. "Research on Shackles of Agricultural Modernization in Northeast China -Taking the Promotion of the Western-style Agricultural Machinery in Northeast China as an Example." Advances in Economics, Management and Political Sciences 27, no. 1 (November 10, 2023): 120–25. http://dx.doi.org/10.54254/2754-1169/27/20231266.

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In the late Qing Dynasty and the early Republic of China, with the gradual development of social economy, agriculture in Northeast China also gradually began to modernize. In this context, businessmen from western developed countries saw the opportunity to actively promote their advanced agricultural machinery through various marketing strategies. Although they achieved satisfactory results in the initial years, their sales gradually weakened over time. Due to the lagging sales of Western-style agricultural machinery, agricultural production in most areas continues adopted the old method until Japan occupied the northeastern China in 1931. This phenomenon was result of the combination of multiple factors, such as special farming conditions, weak farmers 'economy, low self-organization ability of farmers, low labor cost, and complicated operation of western agricultural machinery. These adverse factors are also the shackles of the modernization of agriculture in Northeast China.
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27

Ibragimov, A. G., V. G. Borulko, and I. P. Prokhorov. "Provision of agricultural machinery for agricultural production in Russia." Agrarian science, no. 3 (May 8, 2022): 66–69. http://dx.doi.org/10.32634/0869-8155-2022-357-3-66-69.

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Relevance. The level of technical equipment occupies a special place in the development of agricultural production. For the development and improvement of production operations in agriculture, developed countries are introducing various high-tech processes and equipment. As a result, agricultural work becomes more interesting, productive and efficient. Only due to the complete automation of technological operations and processes, it is possible to significantly facilitate hard physical labor. The volume of work is significantly increasing at the same costs with the use of innovative machinery and equipment in agricultural production. Consequently, this leads to an increase in the economic efficiency of production.Materials and research methods. The materials of the study were data from periodicals on trends in the technical re-equipment of agriculture in Russia, materials of statistical reporting of the Russian Federation, its constituent entities and the Ministry of Agriculture of Russia over the past decades. In the course of the research, abstractlogical, monographic, computational-constructive, comparative analysis and statistical methods were used.Results. According to the results of the studies, it was established that the provision of agricultural machinery and equipment to agricultural enterprises in Russia has been deteriorating from year to year since 1990, there is a high level of deterioration of technical equipment, a low level of its renewal, a large share of old structures in the structure of the technical fleet of agricultural enterprises. Due to the lack of agricultural machinery, Russia loses about 30% of its crop yield every year, significant losses of production occur from non-compliance with agrotechnical terms for spring sowing, sowing winter crops, harvesting, as well as violations of the technology of cultivation of crops. As the reasons for the lag in the technical equipment of agricultural enterprises in Russia, the authors highlight such factors as the low level of profitability of agricultural enterprises, the inaccessibility of credit funds and weak government support for the industry. It is proved that without positive changes in the trend of technical equipment of agricultural organizations it will be impossible to increase the efficiency of agricultural production.
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28

Ovchinnikov, E. V., S. Yu Coziness, K. S. Dmitriev, and A. S. Ovcharenko. "Analysis of ways to adapt automotive diesel engines to work on gas fuel." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 8 (August 1, 2020): 23–27. http://dx.doi.org/10.33920/sel-10-2008-02.

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Many targeted state measures, including the State program for agricultural development and regulation of markets for agricultural products, raw materials and food for the period 2013–2020. (extended by the Ministry of agriculture of the Russian Federation until 2025) and The strategy for the development of agricultural machinery for the period up to 2030, provide for comprehensive equipping of agricultural production as a whole and its individual segments, including livestock and poultry, with modern high-performance machinery and equipment.
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29

Baiaskalanova, Tuyana, Vladimir Kabakov, and Olga Kabakova. "Technical equipment of agricultural production in the region and factors influencing its development." MATEC Web of Conferences 212 (2018): 07003. http://dx.doi.org/10.1051/matecconf/201821207003.

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The definition of the concept of technical equipment and identification of the level of technical equipment of agriculture in the Novosibirsk region is dealt with in this paper. The analysis of the technical equipment of agricultural production with machinery and mechanisms has been conducted. The study of literature sources on definition of the concept of technical equipment of agricultural production has been carried out. Statistical data on the availability of agricultural machinery for agricultural producers in the region, and the structure of energy capacities have been analyzed. The data on the renewal of agricultural machinery and the volume of production of plant growing and livestock are graphically presented. The factors influencing the technical equipment of agricultural production and the degree of their influence on the efficiency of the agricultural production of the region are revealed. The ways of improving the system of technical equipment are suggested. The model of the dependence of the efficiency of agricultural production on its technical equipment is substantiated with the help of economic and mathematical modeling in order to obtain more accurate data on the region’s need for agricultural machinery.
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30

Fan, Zehua, Nannan Zhang, Xiao Zhang, Desheng Wang, and Gang Wu. "Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources." Wireless Communications and Mobile Computing 2022 (July 14, 2022): 1–8. http://dx.doi.org/10.1155/2022/3899618.

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In order to realize the automation and intelligence of agricultural equipment mechanical state detection and improve the efficiency and accuracy of agricultural machinery equipment detection technology, this paper proposes an intelligent agricultural machinery equipment state detection method based on computer data mining. This method uses support vector machine to classify the equipment status and uses ant colony algorithm to solve the optimization problem. Its basic logic is to collect the status data of agricultural machinery equipment, extract the status detection characteristics of agricultural machinery equipment, and use computer data mining to establish an automatic state detection model of agricultural machinery equipment. The application results show that the correct rate of the state detection of agricultural machinery equipment is more than 95%, and the false detection rate of the state of agricultural machinery equipment is far lower than that of other current state detection methods of agricultural machinery equipment. Conclusion. This method can realize high-precision real-time detection of agricultural machinery equipment and has higher practical value.
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31

Adamchuk, V. V., M. I. Gritsyshyn, and N. M. Perepelytsya. "Formation and development of the agricultural machinery market in Ukraine." Mehanization and electrification of agricultural, no. 12 (2020): 173–83. http://dx.doi.org/10.37204/0131-2189-2020-12-20.

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Annotation Purpose. To reveal the shortcomings of the formation of the market of agricultural machinery and their impact on the economy of Ukraine. Methods. Monographic, analytical, economic-mathematical, statistical. Results. It is established that the introduction of “free prices” in Ukraine led to a violation of the principle of equivalence of exchange between industrial and agricultural products, became the main reason for the loss of effective demand of agricultural enterprises for material and technical resources, the decline of domestic engineering and, as a result, led to the monopolization of the agricultural machinery market foreign firms. The main reason for the dominance of imported agricultural machinery in the domestic market of Ukraine was the low level of competitiveness of domestic counterparts, the lack of state regulatory policy and experience in the market environment. The main actions of the bodies of state management of economic development of Ukraine, the implementation of which will contribute to the revival and development of domestic engineering for agriculture and strengthening its position in the domestic market of agricultural machinery. Conclusions. The lack of state regulation of the domestic market of agricultural machinery has led to the loss of domestic engineering for Ukraine’s agro-industrial complex, the dependence of the agricultural sector of Ukraine’s economy on foreign firms, job losses in industry and reduced revenues to the state budget and social funds. To revive the industry and increase sales of agricultural machinery of domestic production in domestic and foreign markets it is necessary: • to provide favorable conditions for the creation of joint ventures with leading foreign companies for the production in Ukraine of competitive agricultural machinery with a gradual increase in its design share of components of domestic production; • to provide state support to the priority areas of development of domestic mechanical engineering for the agro-industrial complex; • to provide preferences for equipment of domestic production in the domestic market and to stimulate its export. Keywords: market, agricultural machinery, government regulation, protectionism, competition, free price.
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32

Podolskaya, E. E., V. E. Tarkivskiy, S. A. Sviridova, and A. B. Ivanov. "Regulatory and Methodological Support for Agricultural Machinery Testing." Machinery and Equipment for Rural Area, no. 5 (May 25, 2022): 18–20. http://dx.doi.org/10.33267/2072-9642-2022-5-18-20.

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The concept of testing is disclosed, their general principles, main types and tasks are reflected, the issues of regulatory and methodological support of the process of testing agricultural machinery and equipment are touched upon. The main regulatory documents that define the composition and methods of testing various types of agricultural machinery, prepared by specialists from KubNIITiM and machine testing stations of the Ministry of Agriculture of Russia, are highlighted.
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33

Akram, Muhammad Waqar, Nida Akram, Hongshu Wang, Shahla Andleeb, Khalil Ur Rehman, Umair Kashif, and Syed Farhaan Hassan. "Socioeconomics Determinants to Adopt Agricultural Machinery for Sustainable Organic Farming in Pakistan: A Multinomial Probit Model." Sustainability 12, no. 23 (November 24, 2020): 9806. http://dx.doi.org/10.3390/su12239806.

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Urbanization and low productivity are real threats to the sustainability of organic farming. The adoption of farm machinery plays a vital role in overcoming these threats to ensure a sustainable and more profitable organic farming model. Farm machinery can also increase farmland yield and reduce the need for labor, although the requirement of significant capital investment often prevents small farmers from buying machinery. There is an increased need to comprehend all relevant elements associated with farming machinery procurement and service delivery. In this article, we provide insight into the impact of different variables of farmers on the adoption of agricultural equipment. A total of 301 organic farmers were surveyed in three districts of Punjab, Pakistan. It was found that the most common machinery concerned herein are tube-well/pumps, tractors, tillage machinery, and thrashers/harvesters. Results from a multinomial probit estimation showed that farm machinery ownership is positively correlated with capital assets, civil infrastructure, alternative sources of power, and credit facility. The findings indicated that policymakers and stakeholders should not concentrate merely on short term planning, such as improving agricultural machinery’s adoption rate. Still, they should also strive to upgrade physical infrastructure and facilities and provide credit services to create an enabling environment that can empower the citizen in adopting large scale use of agricultural machinery for long term sustainability of organic farming.
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34

MU, Hongyun, Yanlei LUO, and Yu LUO. "Electro-Hydraulic Load-Sensitive Simulation Study of Walking Hy-draulic System of Electric Agricultural Machinery." Mechanics 28, no. 6 (December 5, 2022): 481–89. http://dx.doi.org/10.5755/j02.mech.31470.

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The conventional load-sensitive hydraulic drive chassis system for agricultural machinery uses a combination of engine and load-sensitive pump, which cannot adjust the control strategy according to the working conditions. It does not meet the current trend of energy-saving and emission reduction. To this end, an electro-hydraulic load-sensitive hydraulic drive chassis system for agricultural machinery, which uses a combination of permanent magnet synchronous motor and quantitative pump, is proposed. A variable LS differential pressure control and a variable differential pressure control of the pressure compensation valve to improve agricultural machinery's working performance are proposed. AMESim is used to establish the system simulation model to obtain the system composite motion, variable LS differential pressure control, and variable pressure differential control of the pressure compensation valve performance. The simulation results show that the system achieves the essential functions of a conventional load-sensitive system. The variable LS differential pressure control and the variable pressure differential control of the pressure compensation valve are feasible. They can effectively improve the performance of agricultural machinery to adapt to working conditions. It can effectively reduce the system energy consumption and provide a theoretical basis for the intellectualization of electric agricultural machinery.
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35

Mizanbekov, I., S. Bekbosynov, and L. Lytkina. "Analysis of the state of the machine and tractor fleet of Northern Kazakhstan." Bulletin of L.N. Gumilyov Eurasian National University Technical Science and Technology Series 140, no. 3 (September 30, 2022): 89–103. http://dx.doi.org/10.32523/2616-7263-2022-140-3-89-103.

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The article presents an analysis of the state of the machine and tractor fleet of agricultural enterprises in the North Kazakhstan region and the pace of its renewal for 2015-2021, which showed a positive trend. According to the literature review, the solution to the problem of achieving food security in Kazakhstan is directly related to the level of technical equipment of farmers, the modernization of agricultural machinery, and the formation and development of the agricultural machinery market. Despite the successful implementation of various government programs, there are still many unresolved problems in updating the agriculture infrastructure and developing the agro-industrial complex's material and technical base. The study of the fleet of the main types of agricultural machinery in Northern Kazakhstan made it possible to determine the positive dynamics. For 2015-2021, the machine and tractor fleet of agricultural enterprises in the North Kazakhstan region was updated with 15,517 pieces. Thus, the total number of main types of agricultural machinery for farmers in the North Kazakhstan region at the beginning of 2022 is 155,275 units.
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36

Guru, Prabhat Kumar, Atul Kumar Shrivastava, Priyanka Tiwari, Suryakant Khandai, and Narendra Singh Chandel. "Estimation of carbon emissions of agricultural machinery use in India." Oryza-An International Journal on Rice 59, no. 3 (September 30, 2022): 260–68. http://dx.doi.org/10.35709/ory.2022.59.3.1.

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India is currently one of the world’s fastest-growing economies. As a largely agricultural country, the correct measurement of carbon emission associated with different agricultural machinery is highly important. Quantification of the carbon footprint of agricultural machinery is important for the identification of more sustainable and environmentally friendly practices. Information on input energy (fuel energy) used by different farm machinery in India was collected and converted into carbon equivalent in kg CE ha-1 and kg CO2e ha”1. The carbon equivalent for field preparation, sowing and transplanting, sprayer, harvesting, straw management, and other machinery ranges from 4.64 – 21.60, 5.5 – 16.57, 0.85-3.23, 2.02-17.22, 8.91-26.19 kg CE ha-1 and 15.38 – 71.60, 11.39 – 54.94, 2.81 – 10.72, 6.70 – 57.08, and 25.13 – 86.83 kg CO2e ha”1. In order to use low-emission machinery and to calculate the carbon footprints of crop production, the equivalent carbon emission factors of each farm machine and implement were determined. Improved and accurate equipment with optimal and minimal tillage, conservation agriculture, resource conservation technology, and straw management equipment can all help minimise the carbon footprints of farm machinery.
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37

Chen, Lewei, Zongyi Zhang, Hongbo Li, and Xinpu Zhang. "Maintenance Skill Training Gives Agricultural Socialized Service Providers More Advantages." Agriculture 13, no. 1 (January 4, 2023): 135. http://dx.doi.org/10.3390/agriculture13010135.

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Agricultural machinery maintenance skill training is conducive to improving the fault diagnosis and maintenance levels of agricultural machinery for agricultural socialized service providers and plays an important role in providing stable and reliable agricultural machinery operation services. This paper aims to study whether maintenance skill training gives agricultural socialized service providers more advantages than untrained providers, exploring the relationship between maintenance skill training and agricultural machinery service area. Based on a survey of 4905 farmers from 10 provinces in China, an empirical analysis was carried out using a fixed effect model and a propensity score matching method. The results showed the following: First, maintenance skill training had a significant positive impact on agricultural machinery operation service area, including 10.426 ha of machinery tilling service area and 8.524 ha of machinery harvesting service area. Second, since maintenance skill training gave agricultural socialized service providers more advantages in agricultural machinery operation services and enabled them to obtain more orders, it had an indirect positive impact on the quantity of demand for large- and middle-sized agricultural machinery.
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38

Tong, Hongzhi, Xiao-Duo Qian, Yujun Chen, Qi Wei, Senmao Xia, Nige Qian, and Jiaru Li. "Optimal Decision of Agricultural Machinery Product Quality under the Regulation of Government Subsidy Policy." African and Asian Studies 19, no. 3 (October 7, 2020): 218–44. http://dx.doi.org/10.1163/15692108-12341458.

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Abstract Some studies have shown that financial subsidy can promote the technology or product innovation of enterprises, and then improve the product quality. However, in the market competition of subsidized and non-subsidized agricultural machinery products, it is of great practical significance to study whether the enterprises subsidized by the government will improve the product quality. Considering that government provides subsidies for agricultural machinery products, a decision- making model for quality of agricultural machinery manufacturers is established. The relationship between government subsidy and quality of agricultural machinery products is analysed by numerical examples. Results show that the product quality and expected cost of agricultural machinery manufacturers are affected by the government’s financial support, but the relationship between financial subsidy and quality of agricultural machinery products is not monotonic. The increase of government subsidy standard has a negative effect on manufacturers improving the quality of agricultural machinery products in the diffusion region of subsidized agricultural machinery products, but the profits of manufacturers will continue to increase with the increase of subsidies. Government subsidies can promote agricultural machinery manufacturers to improve product quality in the non-subsidized agricultural machinery products diffusion region.
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39

Fatmawaty, A. St, and A. Arif Bijaksana. "Implementasi Alat dan Mesin Pertanian dalam Mendukung Kedaulatan Pangan Indonesia." JNSTA ADPERTISI JOURNAL 3, no. 1 (March 9, 2023): 30–33. http://dx.doi.org/10.62728/jnsta.v3i1.398.

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Indonesia is preparing to face three global crises, namely the food, energy and financial crises simultaneously. The world is heading for the Covid-19 Endemic which has an impact on inflation. Food sovereignty is the implementation of agricultural tools and machines in Indonesia. Therefore, this study aims to describe the choice of implementation tools and modern agricultural machinery that can be used in Indonesia. This study uses a literature study research method. At this time, the implementation of agricultural tools and machinery is an important component for modern agriculture in achieving the target of sustainable food self-sufficiency. Even technological advances in the implementation of agricultural tools and machinery will make agriculture victorious, so that Indonesia can become a world food barn. , Indonesia must also be able to independently produce its own machines.. Even further, it can become a producer and export its agricultural machinery abroad as well as being a solution to the global crisis and the current endemic Covid-19, so that it is required to pay more attention to environmental problems..In the future , there are still many obstacles that must be faced, bearing in mind that the production of weapons, especially rice, in the future will face several problems such as limited arable land, air, and manpower.
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40

Hua, Dengfeng. "Using and Molding of Agricultural Machinery Safety Management Evaluation based on Fuzzy Analytic Hierarchy Process." Industry Science and Engineering 1, no. 1 (January 2024): 49–56. http://dx.doi.org/10.62381/i245107.

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As the level of agricultural mechanization in China continues to improve, the issue of agricultural machinery safety management is becoming increasingly prominent. Strengthening the safety management of agricultural machinery is of great significance for safeguarding the safety of farmers' life and property and the healthy development of agricultural mechanization. This paper combines the hierarchical analysis method (AHP) and the fuzzy evaluation method, and establishes the evaluation index system of agricultural machinery safety management by selecting 18 indexes from five aspects: industry management, basic situation of drivers, management of agricultural machinery, insurance coverage of agricultural machinery, and operating environment. The fuzzy comprehensive evaluation method was used to establish the evaluation model of agricultural machinery safety management, and the evaluation method was applied to Liaoning Province. The results show that the safety management level of agricultural machinery in Liaoning Province is excellent.
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41

Khoroshko, Leonid L., and Pavel M. Kuznetsov. "Digitalization of Agricultural Machinery Rehabilitation." Engineering Technologies and Systems 30, no. 4 (December 30, 2020): 711–22. http://dx.doi.org/10.15507/2658-4123.030.202004.711-722.

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Introduction. The aim of the study is to develop the basic principles for digitalization of the processes of providing the diagnostics and repair of agricultural machinery. Materials and Methods. The specifics of agricultural machinery functioning are work in worst-on-worst operating conditions, such as significant abrasive contamination (soil particles, dust and other substances), operation in the conditions of exposure to natural climatic conditions, intensive use during the work shift and other factors that result in a regular need for testing and repairing. These factors significantly extend the time of maintenance and repair works. The study of the information environment for planning the distribution of agricultural machinery by repair enterprises has showed that the methods of this activity are not sufficiently developed. The authors propose a solution to the problem of rational distribution of agricultural machinery for repair and rehabilitation. Results. This article describes the main principles for developing structural relationships of databases used to find rational solutions for organizing repair and rehabilitation of agricultural machinery. Due to the fact that the solution of such a problem is time-consuming and is carried out under conditions that dynamically change over time, a mathematical model for the production environment of repair organizations is proposed, which is implemented by means of computer technology. The requirements for models describing the state of the production system of repair organizations are defined. A model of a generalized production system is proposed. Discussion and Conclusion. The model developed by the authors allows increasing the automation level of processes of distributing agricultural machinery by repair enterprises. The implementation of a new approach to planning repair works and distributing repairable agricultural machinery by repair enterprises will increase the efficiency of repair works, improve their quality parameters, reduce time, and optimize the structure of technological equipment of repair enterprises.
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42

Yaroshevich, Natalya, Oxana Komarova, and Vasily Migunov. "Factors of sustainable development for the agricultural machinery market." E3S Web of Conferences 537 (2024): 08006. http://dx.doi.org/10.1051/e3sconf/202453708006.

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The progressive development of the economy is based on the sustainability of agriculture and agricultural machinery. It is defined in the concept of sustainable development of society. A review of the researches made it possible to identify the priority importance of production factors in ensuring the sustainable development of this industry. Analysis of methodological tools showed the significance of regression analysis based on the production function. To conduct an empirical study, the Panzar-Ross model and statistical data on the development of the agricultural machinery industry were used. Testing of the model showed the inelasticity of revenue at the prices of production factors and the presence of adaptive behavior of market participants. The results obtained on the sustainability of industrial markets for agricultural machinery can contribute to the formation of a new model of sustainable development within the industry and the drafting of state programs for the agriculture development in general to achieve the goals of sustainable economic growth.
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Liang, Ma, and Meng Mei. "A Study on the Countermeasures of the Problems of Agricultural Mechanization Development in Changji, Xinjiang." Studies in Social Science Research 3, no. 3 (June 27, 2022): p12. http://dx.doi.org/10.22158/sssr.v3n3p12.

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The continuous improvement of agricultural mechanization level can both show the advancement of agriculture and accelerate the development and efficiency of agricultural production, which can help increase agricultural production and income. This paper analyzes the current situation of agricultural mechanization development in Changji City in the process of rural revitalization, identifies the problems and constraints of the current agricultural mechanization development in Changji City, and puts forward corresponding countermeasures and suggestions to promote the agricultural mechanization in Changji City, using statistical yearbook data and qualitative analysis method from the level of mechanization equipment, agricultural machinery operation level and agricultural machinery capital investment strength. It is of great practical significance to promote the development of agricultural mechanization in Changji.
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GABITOV, I. I., A. V. NEGOVORA, M. N. FARKHSHATOV, A. F. FAYURSHIN, P. A. IOFINOV, R. K. ZAINULLIN, and F. R. SHAIKHETDINOV. "ENSURING THE OPERATIONAL RELIABILITY OF AGRICULTURAL MACHINERY TAKING INTO ACCOUNT REGIONAL FEATURES." Tekhnicheskiy servis mashin 62, no. 1 (2024): 36–43. http://dx.doi.org/10.22314/2618-8287-2024-62-1-36-43.

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The technical equipment of agricultural production in Russia is characterized by a low level of energy supply. In the regions of the country, where a sharp decrease in technical equipment has been stabilized, there is a decrease in the number of machines that have developed a standard service life. (Research purpose) The research purpose is assessing the operational reliability of agricultural machinery taking into account the regional features of the maintenance system, capital repairs and modernization of machinery. (Materials and methods) It was noted that in the Republic of Bashkortostan, a program is being implemented to subsidize the costs of agricultural producers for capital repairs and modernization of equipment, which has significantly increased the availability factor of tractors and combines while increasing their standard service life. (Results and discussion) It was established that the operational reliability of agricultural machinery is largely ensured taking into account the regional characteristics of the maintenance and repair system, which is determined by the leading and coordinating role of the regional Ministry of Agriculture in the field of state support for the technical service system of agricultural machinery, scientific, technical and personnel policy. The directions of activity of the engineering service of the Ministry of Agriculture of the Republic of Bashkortostan have been identified: subsidizing technical service enterprises; development of tools and technologies for maintenance and repair (import substitution); coordination of work for the serial production of new types of equipment; organization of interaction with industrial enterprises; search and development of constructive solutions to improve the design of components and assemblies; creation of zonal service centers by dealers in the territory of supervised regions; advanced training and retraining of engineering personnel; creation of a systematic catalog database data on tractor parts and mobile agricultural machinery; the development of the secondary market and the trade-in system of agricultural machinery. (Conclusions) Measures of influence on the system of maintenance and repair were determined, taking into account regional peculiarities in the field of state support for the system of technical service of agricultural machinery, scientific, technical and personnel policy of the region.
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Sun, Yiduo, Ruifa Hu, and Chao Zhang. "Impact of Rural–Urban Migration Experience on Rice Farmers’ Agricultural Machinery Expenditure: Evidence from China." Agriculture 11, no. 8 (August 11, 2021): 764. http://dx.doi.org/10.3390/agriculture11080764.

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In China, return migrants’ rural–urban migration experience and its impact on agricultural production have attracted increasing attention. Using the random survey data of 1122 rice farmers from the Yangtze River Basin in 2016, this study utilizes the endogenous treatment–effect model to investigate the impact of rural–urban migration experience on farmers’ agricultural machinery expenditure. The results demonstrate that return migrants with rural–urban migration experience account for 23.3% of the total sampled farmers. After addressing the endogeneity issue, rural–urban migration experience can increase rice farmers’ agricultural machinery expenditure by 500–600 yuan/ha. Meanwhile, the positive impact of rural–urban migration experience on agricultural machinery expenditure is also heterogeneous in terms of farmers’ age and rice farm size. Based on the results, this study proposes assisting return migrants’ engagement in agriculture, supporting agricultural mechanization for the aged farmers, and enhancing the coordination between agricultural mechanization and appropriately scaled agricultural operations.
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Kolchin, N. N. "Revival of domestic agricultural engineering is an urgent and important task of the state." Traktory i sel hozmashiny 83, no. 10 (October 15, 2016): 3–7. http://dx.doi.org/10.17816/0321-4443-66178.

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The United Nations Organization has called for the need to increase world food production by 70% to 2050. Russia has 9% of world agricultural land and 2% of population of the world, and could not only provide itself with the quality production, but supply the world market. However, today the state support of our agriculture and enterprises producing agricultural machinery is insufficient. One of the most important conditions of agricultural development is a large-scale revival of domestic agricultural engineering, one of the oldest industries of the country. The article presents extracts from the history of this industry, gives an overview of main features and development trends of domestic and foreign agricultural engineering. It is noted that in recent years production and development of domestic agricultural machinery has been reduced significantly. Being its key customer and consumer, the Ministry of Agriculture of the Russian Federation stopped formerly active and useful participation in the development of technical means. Import of foreign machinery increased. But the imported machines do not always sufficiently conform to our conditions. The development of domestic production of agricultural machinery and its use are to be granted the status of top-priority task of the state. A set of measures is proposed for the implementation of this task. These measures will provide the necessary level of food security of the country, the welfare of population, the growth of food exports and raising Russia’s international standing.
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47

Hashimoto, Yasushi. "Special Issue on Agro-Robotics." Journal of Robotics and Mechatronics 11, no. 3 (June 20, 1999): 171–72. http://dx.doi.org/10.20965/jrm.1999.p0171.

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The first intelligent agro-robot for tomato harvesting appeared at Tampa, Florida, in 1983. The presentation by Prof. N. Kawamura at the Department of Agricultural Engineering, Kyoto University, strongly impressed participants in the international symposium for agricultural machinery. Since then, several companies have become interested in developing intelligent agro-robots. As the one of the first, Toshiba demonstrated an intelligent robot for mass propagation in the biotechnological process at Exposition for Flowers in Osaka in 1990. In 1990, the IEEE International Workshop on Intelligent Robotics and Systems (IROS' 90) was held at the Mechanical Engineering Research Laboratory, Hitachi Ltd., in Tsuchiura, Japan, through cosponsorship of the Robotics Society of Japan and SICE, where two agricultural robotics sessions were first organized by Prof. P. Dario, one of the editors of this journal. In 1991, the International Federation of Automatic Control (IFAC) first conducted international workshop on Mathematical and Control Applications in Agriculture and Horticulture at Matsuyama, Japan, featuring a session for agro-robotics presenting several academic cases developed in companies including Toshiba, mentioned above. Several types of intelligent robot were introduced to agricultural applications as agro-robots. Agricultural machinery has a long history, with tractors and combines the main mechanized targets and far from intelligent robot. Highly advanced industrial technology including robots for factory automation widens field applications to new areas in agriculture and agricultural production must consider new labor based on the declining number of farmers in agriculture. New needs of agriculture are being covered by highly advanced engineering-technology developed in manufacturing plants, and it is to be noted that fruitful cooperation has begun in the new field liking industrial and agriculture technology, well demonstrated by the papers in this special issue. The first and second papers, by Tokunaga et al. and by Ogasawara et al., are from the high technology engineering project, Faculty of Engineering, at Kumamoto University, supported from 1994 to 1996 by the Science and Technology Agency, Japan. A watermelon harvesting robot developed as a new target has never been applied in industry. This research is not very important for developing new engineering in robotics and extremely useful in agricultural application. The third and fourth papers, by Noguchi et al. and Yamashita et al., are from engineering in agricultural machinery in interesting research on transportation robots. Prof. Noguchi and his group at the Department of Agricultural Engineering, Hokkaido University, presents a dramatic example of mobile agro-robotics in the field, while Prof. Yamashita, of the Department of Biomechanical Systems, Ehime University, and Prof. Sato developed a vehicle for greenhouse automation anticipating the new agriculture of the 21st century. The fifth paper, by Arima et al., is from agricultural machinery engineering in typical agricultural machinery firms in Japan. The cucumber harvesting robot was developed by ISEKI & Co., Ltd. The sixth paper, by Kobayashi et al., is from the Institute of Agricultural Machinery, BRAIN, and describes a grafting robot. The seventh paper, by Kondo et al., is agricultural machinery engineering involving to the intriguing technology of cutting robots. A chrysanthemum cutting robot is developed for biotechnological applications. Kondo is regarded as an up-and-coming young leader in IFAC activities. The eighth paper, by Dr. Hayashi, is involves agricultural machinery engineering in typical agricultural machinery firms in Japan. It introduces an automatic milking system developed by Kubota Co., Ltd. in cooperation with the Institute of Agricultural and Environmental Engineering, The Netherlands (IMAG-DLO). The ninth paper, by Dr. Yamada, involves agricultural machinery engineering in typical agricultural machinery firms in Japan, and introduces a transplanting robot developed by Yanmar Agricultural Equipment Co. Ltd. The final paper in this fascinating series is by Prof. H. Murase, who chairs the Technical Committee on Intelligent Control in Agricultural Automation, IFAC, has encouraged engineering for system control in agricultural applications since 1988, when the first working group for agricultural engineering was set up and chaired by myself. Agro-robotics has been discussed through several international workshop and symposium sponsored by IFAC since then. Note that IFAC is one of the most active international societies in control engineering taking on all problems in any phase involving robotics, as is done by IEEE. Prof. Murase is one of the most active chairmen in the 46 Technical Committees (TCs) and presents the global scope of agro-robotics in IFAC in conclusion, which is expected to be very useful. I thank Prof. A. Shimizu of Ehime University for his important advice and the authors contributing to this issue, especially Profs. T. Inoue and S. Kawaji of the Faculty of Engineering, Kumamoto University, for their kind cooperation in different engineering fields. Last, I thank Editor in Chief, Prof. T. Fukuda, the Deputy Chief Editors, Prof. M. Kaneko, and the Editors for providing this chance to demonstrate advances in agro-robotics in this special issue, which will encourage the development of robotics in ever widening applications.
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48

Gao, Rui Tao, Xiao Yan Guo, and Yu Hua Cao. "The Life Cycle Design of Green Farm Machinery and Green Supply Chain Management." Advanced Materials Research 524-527 (May 2012): 2460–64. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.2460.

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To realize green agriculture must realize green farm machinery design and the life cycle of green supply chain management, this paper focused on China's existing agricultural machinery design, production, use, management and teaching, discusses the design and use life cycle green supply chain management really realize green agriculture method.
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49

Liu, Yuan, Long Shao, Wanzhang Wang, Jinfan Chen, Heng Zhang, Yue Yang, and Baichen Hu. "Study on Fugitive Dust Control Technologies of Agricultural Harvesting Machinery." Agriculture 12, no. 7 (July 16, 2022): 1038. http://dx.doi.org/10.3390/agriculture12071038.

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The fugitive dust generated by agricultural harvesting machinery not only causes harm to production safety, but also affects the living environment of people in agricultural areas. This is also one of the hot issues that have emerged in the green development of rural areas in recent years, which is related to agricultural safety and hygiene culture. Due to the lack of relevant research, many researchers still have considerable controversy on the issue of agricultural dust. Therefore, in combination with the actual production of agricultural mechanization, according to the cause of dust generation and particle characteristics, the selection of appropriate dust reduction technology and detection methods is of great significance for the research on the control of dust from agricultural harvesting machinery. Aiming at the dust problem in agricultural mechanization production, this research first introduces the relationship between fugitive dust and atmospheric particulate matter and the main components of fugitive dust, and then focuses on the causes of dust generated by wheat harvesters and peanut harvesters in field operations, and explains the main hazards of dust to human health, ecological environment, and climate. This study introduces four fugitive dust emission reduction technologies and five particle measurement methods, and compares and analyzes their feasibility in the application of agricultural harvesting machinery dust control. Finally, we put forward conclusions and suggestions on the dust control technology of agricultural harvesting machinery in order to provide reference for the control of agricultural harvesting machinery dust, improve the field operation environment, and promote the green development of modern agriculture.
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50

Albrektsen, S. B., B. M. Henriksen, and J. L. Thomsen. "Fatal Agricultural Accidents." Medicine, Science and the Law 33, no. 4 (October 1993): 340–44. http://dx.doi.org/10.1177/002580249303300412.

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During the period 1969–1988, 33 victims (30 males and 3 females) of agricultural accidents were autopsied at the University Institute of Forensic Medicine in Copenhagen. Five were under the age of 15 years. The median age was 51 years. The most frequent types of accident were machinery accidents (45%), falling from a height (30%) and suffocation, including drowning, (12%). The place of the accident was meadow/field (36%), stable/barn (24%), farmyard (24%) and public road (12%). Severe lesions in all body regions dominated the picture with a preponderance of skull/brain and chest lesions. Skull/brain lesions were found in 80% of the cases of falling from a height, while 87% of the machinery accident cases had severe chest lesions. More effective control of machinery and a data collection system for these accidents are proposed.
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