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Journal articles on the topic 'Farm machinery'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ahiakwo, A. A., and C. B. Isirima. "FARM MACHINERY UTILIZATION AND MAINTENANCE EFFECTS ON SUSTAINABLE DEVELOPMENT OF COLLEGE FARMS." Engineering and Technology Journal 08, no. 01 (2023): 1795–801. http://dx.doi.org/10.47191/etj/v8i1.02.

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In order to expose students in tertiary institution learning agricultural science to the concept of farm mechanization, which could aid self-reliance after graduation, the federal government of Nigeria has provided farm machinery to make teaching and learning effective in this regard. The focus of this study therefore is to assess farm machinery deployment, management and maintenance effect on mechanization for sustainable development of college farms in Nigerian. The study population comprised all federal and state colleges covered by tertiary institution trust fund (tetfund). Sample of 24 co

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2

Wang, Pei, Mengdong Yue, Luning Yang, et al. "Design and Test of Intelligent Farm Machinery Operation Control Platform for Unmanned Farms." Agronomy 14, no. 4 (2024): 804. http://dx.doi.org/10.3390/agronomy14040804.

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The unmanned farm control platform is of great significance in promoting the supervision of farm production with less manpower or autonomous operation of farm machinery and the construction of farm informatization. Addressing the existing control platform for farm location information acquisition is time-consuming, labor-intensive, and lacks the whole process control of multiple types of farm machinery. In this paper, we propose an Internet of Things (IoT) control scheme for intelligent farm machinery operation of unmanned farms and design the access standards for multiple types of farm machin

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3

Cox, S. W. R. "Farm machinery (12th edition)." Computers and Electronics in Agriculture 9, no. 2 (1993): 189. http://dx.doi.org/10.1016/0168-1699(93)90007-n.

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4

Zhang, Fan, Gui Fa Teng, Jian Bin Ma, and Jie Yao. "Research on Multitask Collaborative Scheduling Problem with Heuristic Strategies." Applied Mechanics and Materials 66-68 (July 2011): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.758.

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According to problems existed in the current farm machinery scheduling process, a new farm machinery scheduling scheme is adopted in this dissertation. The collaborative scheduling model of farm machinery is established and multitask collaborative scheduling algorithm is designed through analyzing the differences between Vehicle Scheduling Problem and agricultural machinery scheduling in the dissertation. Earliest Start Time First and minimal resource allocated capacity first strategies are used in the farm machinery scheduling. The algorithm is useful for the case of machinery owner with suff

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A., A. Ahiakwo, and B. Isirima C. "FARM MACHINERY UTILIZATION AND MAINTENANCE EFFECTS ON SUSTAINABLE DEVELOPMENT OF COLLEGE FARMS." Engineering and Technology Journal 08, no. 01 (2023): 1795–801. https://doi.org/10.5281/zenodo.7501781.

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In order to expose students in tertiary institution learning agricultural science to the concept of farm mechanization, which could aid self-reliance after graduation, the federal government of Nigeria has provided farm machinery to make teaching and learning effective in this regard. The focus of this study therefore is to assess farm machinery deployment, management and maintenance effect on mechanization for sustainable development of college farms in Nigerian. The study population comprised all federal and state colleges covered by tertiary institution trust fund (tetfund).  Sample of

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6

Zulhanafiah, Zulhanafiah, and Ujang Paman. "Performance Evaluation of Farm Machinery Utilization Under Custom Hiring Services Managements." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 13, no. 3 (2024): 679. http://dx.doi.org/10.23960/jtep-l.v13i3.679-690.

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Farm machinery hire service is a custom hiring business model managed by farmers’ groups at the farm level. The model is developed to facilitate access to farm machinery by small farmers and derive income (profit) from hiring out machinery services. This research attempts to evaluate the performance of farm machinery hire services in the Indragiri Hulu Region, Riau Province. The field surveys were conducted from September to October 2022 in 11 districts in the province. A total of 11 managers and 22 operators from 11 farm machinery hire service groups were selected purposively and interviewed

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Hu, Yuan, Ziyang Zhou, Li Zhou, and Caiming Liu. "Self-Owned or Outsourced? The Impact of Farm Machinery Adoption Decisions on Chinese Farm Households’ Operating Income." Agriculture 14, no. 11 (2024): 1936. http://dx.doi.org/10.3390/agriculture14111936.

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Using farm machinery plays a significant role in easing the issue of slowing growth of operating income among farm households in China. Drawing data from CFPS2018, this study adopts a multinomial endogenous switching regression (MESR) to analyze the factors influencing farm households’ choices regarding self-owned farm machinery and outsourced machinery services, as well as their subsequent impact on operating income. The results of the study show that the characteristics of the head of household, family, village, and region have a significant impact on the farm households’ selection of whethe

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Ma, Wan Min, and Wan Zheng Ma. "Research on Supervision Current Situation and Countermeasures of Agricultural Modernization in China." Advanced Materials Research 860-863 (December 2013): 3104–7. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.3104.

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Agricultural machinery production safety work is the work of national security, an important part of the production. Based on summarizing the research status of farm machinery safety supervision, this paper analysis the main problems of farm machinery safety supervision ,combining with the actual farm machinery safety supervision we propose improvement measures ,we focus on technology innovation to improve service farm machinery safety supervision level, to promote the cause of farm machinery safety supervision development, to improve agricultural production safety, We should be better for far

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Akram, Muhammad Waqar, Nida Akram, Hongshu Wang, et al. "Socioeconomics Determinants to Adopt Agricultural Machinery for Sustainable Organic Farming in Pakistan: A Multinomial Probit Model." Sustainability 12, no. 23 (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

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10

Wang, Weiwei, Zhihai Yang, Xiangqun Gu, Amin Mugera, and Ning Yin. "How Farm Machinery Rental Services and Off-Farm Work Affect Household Income in China." Agriculture 14, no. 10 (2024): 1672. http://dx.doi.org/10.3390/agriculture14101672.

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(1) Background: Most nations struggle to close significant income gaps between high and low earners. While the adoption of farm machinery rental services and off-farm employment may be beneficial, it is unclear whether jointly applying both approaches can raise income levels in rural households or help narrow the income gap within the farm sector. This study investigated scenarios involving both participation in farm machinery rental markets and in off-farm work, analyzing their varied impacts on household incomes based on survey data from 1027 rice producers in rural China. (2) Methods: We em

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Rawal, Sagar, Ashok Dhillon, Dalip Kumar Bishnoi, Raj Kumar, Raj Ratan Panday, and Mandeep Kumar. "Economic Effect of Custom Hiring Centres on Paddy (Oryza sativa) Cultivation in Haryana, India." Journal of Experimental Agriculture International 46, no. 6 (2024): 583–88. http://dx.doi.org/10.9734/jeai/2024/v46i62512.

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To compare the economics and efficiency of resource use in paddy cultivation when using machinery hired from government-sponsored Custom Hiring Centres (CHCs) vis-à-vis private farm machinery providers. The study was carried out in the Kurukshetra district of Haryana during the agricultural year 2020-21. Selection of district was done based on the highest percentage change in farm power availability since the beginning of the Sub Mission on Agricultural Mechanization (SMAM). The data for the investigation were gathered from 80 paddy farmers (40 hiring farm machinery from the private farm machi

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Paman, Ujang, Khairizal Khairizal, and Hajry Arief Wahyudy. "KEBUTUHAN MESIN PERTANIAN DAN TENAGA UNTUK MEKANISASI USAHATANI PADI SKALA KECIL DI KABUPATEN KAMPAR, PROVINSI RIAU." DINAMIKA PERTANIAN 33, no. 2 (2019): 129–36. http://dx.doi.org/10.25299/dp.2017.vol33(2).3825.

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Farm machinery is one of the important power sources to carry out farm operations today. The availability of farm power in adequate number is prerequisites for providing enough power in perform rice farming operation. This paper attempts to evaluate the farm machinery and power requirement for performing operations of small-scale rice farming in Kampar Regency, Riau Province. Data were obtained from field survey in 15 districts from 21 districts of Kampar Regency. Village surveys were chose for each selected district which are rice production center and farm machines have been used in working

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Ismail, Ujang Paman, Khairizal Khairizal, and Hajry Arief Wahyudy. "KEBUTUHAN MESIN PERTANIAN DAN TENAGA UNTUK MEKANISASI USAHATANI PADI SKALA KECIL DI KABUPATEN KAMPAR, PROVINSI RIAU." DINAMIKA PERTANIAN 33, no. 2 (2017): 11. http://dx.doi.org/10.25299/dp.2017.vol33(2).813.

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Farm machinery is one of the important power sources to carry out farm operations today. The availability of farm power in adequate number is prerequisites for providing enough power in perform rice farming operation. This paper attempts to evaluate the farm machinery and power requirement for performing operations of small-scale rice farming in Kampar Regency, Riau Province. Data were obtained from field survey in 15 districts from 21 districts of Kampar Regency. Village surveys were chose for each selected district which are rice production center and farm machines have been used in working

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14

P K Sahoo and Satish Devram Lande. "Farm Machinery-based Entrepreneurship Development." Agricultural Engineering Today 48, no. 4 (2025): 59–61. https://doi.org/10.52151/aet2024484.1799.

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15

Fountas, S., C. G. Sorensen, Z. Tsiropoulos, C. Cavalaris, V. Liakos, and T. Gemtos. "Farm machinery management information system." Computers and Electronics in Agriculture 110 (January 2015): 131–38. http://dx.doi.org/10.1016/j.compag.2014.11.011.

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16

M. Muthamil Selvan and K. Rangasamy. "Accident probability in farm machinery." Journal of Agricultural Engineering (India) 38, no. 2 (2001): 30–33. http://dx.doi.org/10.52151/jae2001382.0964.

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The study of farm machinery related accidents in Tamilnadu has been conducted encompassing different machineries, modes of accidents and the classification of accident victims. The results indicate that majority of the occident victims were in the age group of35-50 and their education level was generally matriculation or lower. The majority of accident victims were laborers who did not have adequate training. People working in rural industries and the users of agricultural machinery must pocess the necessary training and education to keep themselves and the output safe. There is a need for str

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17

Ma, Wanglin, Alan Renwick, and Quentin Grafton. "Farm machinery use, off-farm employment and farm performance in China." Australian Journal of Agricultural and Resource Economics 62, no. 2 (2018): 279–98. http://dx.doi.org/10.1111/1467-8489.12249.

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18

GC, Arun, Jun-Ho Yeo, and Kiran Ghimire. "Determinants of Farm Mechanization in Nepal." Turkish Journal of Agriculture - Food Science and Technology 7, no. 1 (2019): 87. http://dx.doi.org/10.24925/turjaf.v7i1.87-91.2131.

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The paper attempts to explore the factors affecting the farm mechanization in Nepal, where agriculture is the primary livelihood of most people and the mechanization is crucial for efficient production and productivity. The government has also introduced a separate policy for agriculture mechanization in 2014. A primary data was collected from 300 households and analysed to assess and quantify the determinants of the farm mechanization. A descriptive analysis was carried out for understanding the data and the results were interpreted. Similarly, the multiple regression was executed to assess t

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19

Baba Shani, Buba. "Availability and utilization of farm machinery and equipment in borno state: a case study of shani local government area." Journal of the Ghana Institution of Engineering (JGhIE) 25, no. 1 (2025): 59–64. https://doi.org/10.56049/jghie.v25i1.180.

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This research assessed the availability and utilization of farm machinery and equipment in Shani local government area of Borno state, Nigeria. A sample of 377 farmers was selected from the population of 10,000 farmers using the formula by Yamane (1967). The data was analyzed using descriptive and inferential statistics. The results showed that the mean and standard deviation of the availability and utilization of farm machinery and equipment were 2.5 and 1.2, and 2.3 and 1.1, respectively. The mean and standard deviation of the farm productivity were 4.7 and 2.3, respectively. The correlation

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20

Roman, Monika. "Polski handel zagraniczny środkami mechanizacji rolnictwa w latach 2004-2015." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 17(32), no. 1 (2017): 161–72. http://dx.doi.org/10.22630/prs.2017.17.1.15.

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The aim of the article was to determine the changes in foreign trade of farm machinery in Poland in 2004-2015. The article presents the value of exports and imports of farm machinery in total, according to geographical area, as well as for selected types of agricultural machinery. The article uses secondary data from the Ministry of Finance, gathered as part of the Integrated Customs Tariff Information System. In the analyzed period, Poland was characterized by a negative balance of foreign trade. The value of imports of farm machinery increased more than threefold, while the value of exports

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21

Sigdel, U. P., K. N. Pyakuryal, D. Devkota, and G. P. Ojha. "Paddy farmers’ knowledge, perception, and satisfaction on the use of farm machinery in Nepal." International Journal of Agriculture Extension and Rural Development Studies 9, no. 2 (2022): 20–31. http://dx.doi.org/10.37745/ijaerds.15vol9n22031.

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Agricultural mechanization refers to the use of different power sources as well as enhanced farm tools and equipment to decrease human and draught animal labor, improve cropping intensity, precision, and timeliness of crop input usage, and reduce losses at various phases of crop production. This research tried to assess paddy farmers' knowledge, views, and contentment with the use of agricultural machinery in the districts of Jhapa, Kapilbastu, and Kailali using a multistage purposive sample technique. The survey research method was used for the investigation. Descriptive statistics and proper

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22

Hussain, Zakir. "MARKETING PATTERN OF LOCALLY MANUFACTURED FARM MACHINERY IN DISTRICT KHANEWAL." Data Plus 1, no. 1 (2023): 25–29. http://dx.doi.org/10.62887/dataplus.001.01.0006.

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Agricultural mechanization encompasses the creation, production, and dissemination of various machinery, infrastructure, and tools designed for farming operations, post-harvest activities, and processing. This involves the implementation of appropriate farm machinery, which can be sourced either through imports or local production. The objective of this study was to investigate the marketing pattern of locally manufactured farm machinery among farmers. From the four tehsils of District Khanewal total of 60 farmers who had purchased one or more machinery in the last year were chosen. Respondent

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Shujun, LI. "Development of Farm machinery in China." IFAC Proceedings Volumes 46, no. 4 (2013): 9–10. http://dx.doi.org/10.3182/20130327-3-jp-3017.00005.

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ALSUHAIBANI, SALEH A. "Farm Machinery Breakdown Classification – Seed drills." JOURNAL OF ADVANCES IN AGRICULTURE 6, no. 1 (2016): 813–21. http://dx.doi.org/10.24297/jaa.v6i1.5389.

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Work job orders for 196 seed drills collected by HADCO (Hail Agricultural Development Company), Saudi Arabia, were used in this study. The work job orders were classified in terms of the parts used and the cost of each item. Distribution of repair and maintenance as listed in the work-job orders was classified as repairs by 55% while 45% was found to be maintenance. Moreover, Classification of repair and maintenance for parts of seed drills was 66% for rapair jobs and 34% for manitinance jobs. Cost ratio term was developed, by dividing the repair or maintenance cost by the seed drill purchase

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25

Manor, G., and D. Nir. "Accuracy of performance of farm machinery." Journal of Terramechanics 24, no. 1 (1987): 87–94. http://dx.doi.org/10.1016/0022-4898(87)90061-9.

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A.Yousif, Lotfie. "Crop-machinery management system for field operations and farm machinery selection." Journal of Agricultural Biotechnology and Sustainable Development 5, no. 5 (2013): 84–90. http://dx.doi.org/10.5897/jabsd2013.0205.

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Paman, Ujang, Khairizal, Selvia Sutriana, Zulhanafiah, and Andri Bayu Pamungkas. "Evaluation of Operator’s Competence to Operate and Maintain Farm Machines in Riau Province, Indonesia." IOP Conference Series: Earth and Environmental Science 1228, no. 1 (2023): 012014. http://dx.doi.org/10.1088/1755-1315/1228/1/012014.

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Abstract The operation of farm machinery requires an operator with better operational and technical skills to ensure efficient and effective use of the machinery. These competences are necessary to avoid breakdowns during field operations that can affect machine operating costs. This research aims to evaluate the operators’ competence in the operation and maintenance of farm machinery. Field surveys were conducted in three regencies of the Riau Province, namely Kampar, Indragiri Hulu, and Siak regencies. 63 machine operators were purposively selected and interviewed using structured questionna

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R, Dhara. "A Study on Utilization of Farm Equipment in Sugarcane Cultivation." Madras Agricultural Journal 101, June (2014): 159–62. http://dx.doi.org/10.29321/maj.10.001173.

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Cultural operations for sugarcane production are arduous especially planting, interculture, plant protection and harvesting. Modern sugarcane machinery and labour saving devices reduce the cost of sugarcane production, help in completion of operation in time, reduce human drudgery and enable efficient utilization of resources with better quality work output. It helps in increasing overall production and productivity. Therefore the present study is focused on the utilization of farm mechanization in sugarcane cultivation with a sample of 200 sugarcane growers. The data was collected from each r

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Waleed, Muhammad, Tai-Won Um, Tariq Kamal, and Syed Muhammad Usman. "Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things." Symmetry 13, no. 3 (2021): 403. http://dx.doi.org/10.3390/sym13030403.

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In this paper, we apply the multi-class supervised machine learning techniques for classifying the agriculture farm machinery. The classification of farm machinery is important when performing the automatic authentication of field activity in a remote setup. In the absence of a sound machine recognition system, there is every possibility of a fraudulent activity taking place. To address this need, we classify the machinery using five machine learning techniques—K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and Gradient Boosting (GB). For trainin

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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 (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 tra

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Pilarczyk, Maria, and Robert Ulewicz. "Evaluating risk in the operation of agricultural machinery based on farm size." Scientific Papers of Silesian University of Technology. Organization and Management Series 2024, no. 198 (2024): 393–408. http://dx.doi.org/10.29119/1641-3466.2024.198.21.

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Purpose: The aim of the study was to identify practical challenges, best practices, and solutions used during the deployment of agricultural machinery depending on the size of the farm Design/methodology/approach: The method of observation and risk analysis was utilized in the operation of agricultural machinery using the FMEA method to identify potential threats and develop strategies for their mitigation. Findings: Research conducted on farms has revealed significant issues such as improper maintenance, lack of safety guards, and outdated equipment. To enhance farm safety, it is recommended

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Siemens, John, Keith Hamburg, and Trevor Tyrrell. "A Farm Machinery Selection and Management Program." Journal of Production Agriculture 3, no. 2 (1990): 212–19. http://dx.doi.org/10.2134/jpa1990.0212.

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Ismail, Z. E., M. M. Ibrahim, and S. A. Embaby. "ECONOMIC EVALUATION AND SELECTION OF FARM MACHINERY." Misr Journal of Agricultural Engineering 26, no. 4 (2009): 1667–81. http://dx.doi.org/10.21608/mjae.2009.107198.

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D. A. Bender, D. E. Kline, and B. A. McCarl. "POSTOPTIMAL LINEAR PROGRAMMING ANALYSIS OF FARM MACHINERY." Transactions of the ASAE 33, no. 1 (1990): 0015–20. http://dx.doi.org/10.13031/2013.31286.

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KIKUCHI, Yutaka. "Smart Agricultural Machinery and Farm-work Safety." JOURNAL OF RURAL PLANNING ASSOCIATION 40, no. 3 (2021): 156–57. http://dx.doi.org/10.2750/arp.40.156.

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Khatri, Sanjay, and Priyanshu Kumar. "Agriculture mechanization, farm machinery accidents and safety." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 19, no. 2 (2023): 730–36. http://dx.doi.org/10.15740/has/ijas/19.2/730-736.

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In this article an effort has been made to review the approaches made onconserving the moisture through in-situ conservation techniques and mechanical measures employed to conserve soil and water with different conservational practices such as basin listing, compartmental bunding, tie ridging, ridge formation, check basin formation etc. has analyzed and the effect of these conservational practices on yield of crop, effect of mechanical machine parameters on basin dimensions and its performance and finally, advantage of these conservational practices in terms of net returns to farmers has been

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Kinga, N., and W. Chetem. "An Economic Analysis Of Government Custom Hiring Services For Different Farm Machineries In Bhutan." SAARC Journal of Agriculture 17, no. 2 (2020): 93–101. http://dx.doi.org/10.3329/sja.v17i2.45297.

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Farmers in Bhutan trend to own agricultural machineries though the individual area under farm mechanization is not enough. Hiring out or in of farm machineries as a business enterprise need to be advocated. Therefore, an effort was made in this study to generate some parameters regarding farm machinery business at farm level based on practical experience. Bhutanese Government has endorsed some users’ parameters including cost and return which are used to guide the custom rates for different machineries for farmers and service providers. The study’s objective was to generate different empirical

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R.C. Dash, N.P.S. Sirohi, and K.K. Tyagi. "Selection of Optimum Sizes of Agricultural Machinery A Case Study." Journal of Agricultural Engineering (India) 42, no. 4 (2005): 32–41. http://dx.doi.org/10.52151/jae2005424.1145.

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Selection of proper size of farm power and machinery is an important component of any farm enterprise. The decision for a particular size is very critical not only because of the high proportion of total cost attributed to machinery but also due to the infrequency and irrevocability of such decisions. Computer-based least cost mathematical models were developed for the selection of power and machinery system for paddy-wheat crop rotation practiced in Kamal district of Haryana State in India. The input data required for the models were collected through sample survey of the study area. The outp

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Xu, Yu, Liangjie Xin, Xiubin Li, Minghong Tan, and Yahui Wang. "Exploring a Moderate Operation Scale in China’s Grain Production: A Perspective on the Costs of Machinery Services." Sustainability 11, no. 8 (2019): 2213. http://dx.doi.org/10.3390/su11082213.

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Due to the indivisibility of agricultural machinery in production, limited farm sizes have reduced mechanization efficiency and increased the cost of grain production in China. As a result, the development of a moderate-scale farming system has been proposed by academic communities and policy makers. However, it is still hotly debated how to determine a moderate farm scale. We offer a new perspective on the costs of machinery services. This manuscript employs the threshold model and uses the nationally representative data from the 2015 China Rural Household Panel Survey (CRHPS) to investigate

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Shen, Xue, Quanyu Yang, Ting Qiu, and Rongjun Ao. "Off-Farm Employment, Outsourced Machinery Services, and Farmers’ Ratoon Rice Production Behavior: Evidence from Rice Farmers in Central China." Agriculture 13, no. 10 (2023): 1881. http://dx.doi.org/10.3390/agriculture13101881.

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Promoting ratoon rice is a critical measure for ensuring food security in China. Understanding the mechanism underlying farmers’ decision-making involving ratoon rice production may contribute to the design and implementation of extension policies. This study examined the impact of off-farm employment and outsourced machinery services on farmers’ ratoon rice production behavior. We used a representative household survey of 1752 rice farmers in Hubei province in central China and a multinomial endogenous treatment effect model to address potential self-selection biases from both observable and

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Alam, M., M. A. Haque, T. R. Sarker, and M. A. Momin. "Present Status of Farm Power and Machinery Usage in Bangladesh." Journal of Agricultural Machinery and Bioresources Engineering 7, no. 1 (2016): 47–54. http://dx.doi.org/10.61361/jambe.v7i1.119.

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Mechanization level in terms of usage of farm machinery and farm power in 22 Upazillas and 2 Unions of 13 districts were ascertained. Farm level recent data on machinery and power usage had been collected through questionnaire survey in addition to the previous data from secondary sources. The trend of population of most of the farm machinery continues to rise which got a boost up since late 80s with an increasing demand. Population of tractor, PT, open and close drum thresher, and irrigation pumps has been increased tremendously since then. Population of tractor, PT, seeder, combine harvester

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Istifanus, A. B., and I. A. Zubairu. "THE CURRENT STATE OF FARM MACHINERY UTILIZATION AND MECHANIZATION IN TARABA STATE." Journal of agricultural Mechanization 5, no. 1 (2025): 8–21. https://doi.org/10.63749/agrimech.5.1.1002r.

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The imbalance between food demand and domestic production requires improvement and this can be done with the availability of and utilization of farm machinery for carrying out farm operations to enhance large scale production. This study investigated the level and extent to which farmers in Taraba State have delved into the use of modern farm implement to achieved crop production. The study employed a quantitative research design to examine the effects of farm mechanization on productivity and rural livelihoods. The population comprised farmers engaged in crop production, ranging from smallhol

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Górnicki, Krzysztof. "Applications of Computer Science in Agricultural Engineering." Applied Sciences 13, no. 10 (2023): 6071. http://dx.doi.org/10.3390/app13106071.

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Agricultural engineering is the branch of engineering that deals with the design and exploitation of farm machinery and devices; the location and planning of farm structures; farm drainage, soil management, and erosion control; water supply and irrigation; rural electrification; farm product processing; and deriving renewable energy from agricultural products [...]

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Kadhim, Z. R. "MARGIN OF SAFETY OF HIRING DECISION OF AGRICULTURAL MACHINERY SERVICES BY RICE FARMERS IN ALNAJAF AL-ASHRAF PROVINCE." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 52, no. 3 (2021): 756–62. http://dx.doi.org/10.36103/ijas.v52i3.1367.

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The main objective of this study is to compute margin of safety of hiring decision of agricultural machinery services in Iraq. A cost-volume-profit analysis by using breakeven point technique has been followed to find out the margin of safety by using cross- section data in rice production farms in Alnajaf province. Results showed that the break-even point for different types of original agricultural field machinery were 427, 6.5, and 221 hours for tractor and machinery of soil preparation, farm sprayer, and combine harvester, respectively, while the values of break-even point for different ty

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Raghuwanshi, Prof Mrs S. B., Patil Rohini Yogesh, Wani Vipul Suresh, Patel Rushika Sanjay, and Chaudhari Aakash Navnath. "EquipFarm: Farmer's Apartment Internet Site." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4317–19. http://dx.doi.org/10.22214/ijraset.2024.62604.

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Abstract: A farmer-focused rental software called Equip Farm was created to make agricultural machinery and equipment more accessible. By linking farmers and equipment owners, the platform facilitates the effective use of resources and raises farming operations' output. Farmers may browse a variety of machinery options, compare rental costs, and conveniently reserve the equipment they require for particular chores like planting, harvesting, or plowing with Equip Farm. The Equip Farm abstract emphasizes the organization's commitment to helping smallholder farmers overcome the obstacles of equip

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Quan, Xiuhao, and Reiner Doluschitz. "Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers." Agriculture 11, no. 11 (2021): 1090. http://dx.doi.org/10.3390/agriculture11111090.

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As the major labor force has shifted from rural areas to cities, labor shortages in agricultural production have resulted. In the context of technical progress impact, and depending on farm resource endowments, farmers will choose effective labor saving technology such as machinery to substitute for the missing manual labor. The reasons behind farmers’ adoption of machinery technology are worth exploring. Therefore, this study uses 4165 Chinese maize farmers as the target group. Multivariate probit models were performed to identify the factors that affect maize farmers’ adoption of four machin

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Dhakal, Saroj, Sisam Pandey, Sandesh Chapagain, Yuvraj Devkota, Mina Sunar, and Sushank Khanal. "Factors affecting the adoption of farm mechanization in Rupandehi, Nepal." Archives of Agriculture and Environmental Science 9, no. 3 (2024): 409–13. http://dx.doi.org/10.26832/24566632.2024.090301.

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Agricultural mechanization is pivotal in farmer’s fields as it functions more efficiently and helps increase farm productivity. Despite the massive involvement of people in agriculture, farm productivity is relatively low. One main reason for this is the staggered implementation of farm mechanization. This paper aims to explore the factors affecting the adoption of farm mechanization using the Chi-square test and identify the major problems using relative frequency values. A total of 112 respondents, 28 each from 4 municipalities of Rupandehi district were interviewed based on stratified rando

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Prabhavathi, Y., N. T. Krishna Kishore, and Ch Charishma. "Penetration of farm mechanization services through FPOs: rural dynamics-based business modelling." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 17, no. 2 (2021): 558–68. http://dx.doi.org/10.15740/has/ijas/17.2/558-568.

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Farm mechanisation although one among the essential input to raise the agriculture productivity, but individual owning of agricultural machinery by resource constrained small and marginal farmers who constitute around 85% of operated land holdings in India is uneconomical. Hence, innovative arrangements such as custom hiring centres’ (CHCs) are being encouraged through farm aggregation models like cooperative farming, Joint Liability Groups (JLG), Farmer Producer Organizations (FPOs) to get access to farm machinery services at affordable prices and promote mechanization of operations on small

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Řezník, Tomáš, Lukáš Herman, Martina Klocová, et al. "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm." Sensors 21, no. 9 (2021): 2980. http://dx.doi.org/10.3390/s21092980.

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Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it fur

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Sharan, Girja. "Training Farmers for Mechanization." Vikalpa: The Journal for Decision Makers 13, no. 2 (1988): 25–32. http://dx.doi.org/10.1177/0256090919880204.

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Effective utilization of farm machinery requires more than transfer of information. New skills have to be built among farmers, especially those introducing machinery for the first time. Building such skills requires infrastructure, trained personnel and time. The total capacity to train of the Farm Machinery Training and Testing Institutes of the Government of India at Budni, Hissar and Garladinne as well as the 20 agricultural universities in the country amounts to only about 7,000 a year compared to a need of about 25,000. Girja Sharan discusses how interinstitutional collaboration can help

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