Journal articles: 'Farm mechanization. Farm mechanization'

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Uk Kim, Kyeong. "Farm Mechanization Policies in Korea." Engineering in Agriculture, Environment and Food 2, no. 4 (2009): 132–43. http://dx.doi.org/10.1016/s1881-8366(09)80004-9.

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Gibb, J. A. C. "Consequences of small-farm mechanization." Agricultural Systems 17, no. 1 (January 1985): 60. http://dx.doi.org/10.1016/0308-521x(85)90023-x.

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Oktovianto, Kurnia Arif, Irham Irham, and Suhatmini Hardyastuti. "The Impact of Mechanization Under UPJA Program on Rice Farming Income in Prambanan Sub-District Sleman District." Agro Ekonomi 29, no. 1 (July 25, 2018): 132. http://dx.doi.org/10.22146/ae.34835.

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The Agricultural machinery rental services (UPJA) program has an important role on the application of agricultural mechanization and increasing farming income. This study aims: (1) to compare the farm costs between the farmers who apply mechanization under UPJA program and those who do not (Non-UPJA), and (2) to know the effect of implementing agricultural mechanization and the other factors toward farm income in Prambanan Sub-District, Sleman District. The data collected consists of 25 farmers who apply agricultural mechanization under UPJA program, choosen by sensus and 25 farmers who do not apply (Non-UPJA), choosen by using proporsional random sampling. To determine the differences of farm costs, farming analysis and mean difference test using independent sample t-test was applied. To determine the effect of mechanization toward farm income, multiple liniear regression analysis was used. The result of mean difference test showed that there is no significant differences of farm costs between UPJA and Non-UPJA farmers. The result of multiple liniear regression analysis showed that mechanization has significant effect to the farm income. Farm income of the farmers who apply mechanization under UPJA program is significantly higher than the farmers who do not. Other factors that have significant effect to farm income are land area, price of organic fertilizer and price of ZA fertilizer.

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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 (January 15, 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 the factors affecting total investment in the farm machinery. The five different models were specified and compared for the better results. Moreover, to have deeper insight, the farm machinery was categorized into light machinery, heavy machinery and animal power. The results showed that light machinery is an essential part of Nepali farming system. Likewise, the presence of animal power, income per capita, per capita farm area, adaptation due to change in temperature, Household size, Farm area and income are significant determinants for total investment in farm mechanization.

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Declaro-Ruedas, Mary Yole Apple, and Leoniel S. Bais. "COPING STRATEGIES OF THE FARM LABORERS TOWARD FARM MECHANIZATION IN CENTRAL, SAN JOSE, OCCIDENTAL MINDORO." Journal of Asian Rural Studies 4, no. 1 (January 25, 2020): 109. http://dx.doi.org/10.20956/jars.v4i1.2149.

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This descriptive study was conducted to determine the coping strategies of farm laborers in San Jose, Occidental Mindoro towards farm mechanization. It was conducted at Barangay Central, San Jose, Occidental Mindoro, one of the top rice producing barangays in the province. The 123 of the 215 farm laborers listed in the different Kabesilya or farmers labor group were selected using simple random sampling. The farm laborers were engaged in planting and harvesting of rice for at least three years in Central, San Jose, Occidental Mindoro. The researcher used an interview schedule in gathering data. The study used descriptive statistics such as mean, frequency, and percentage. Pearson’s Product Moment Correlation was also used. Result shows that the farm laborers were in their middle aged, literate and with medium household size. The farm laborers generally “agree” that farm mechanization had affected their employment, food security level, education of children, monthly income, and agricultural production operations. The farm laborers “moderately practiced” the different coping strategies to meet the undesired effect of farm mechanization. Further, the “highly practiced” coping strategies were minimizing food expenses and seasonal migration of some household members to find odd jobs. Moreover, years spent in formal education and household size has a significant relationship on the extent of which farm laborers experience the effect of farm mechanization. Years spent in formal education have significant relationship on the coping strategies employed by farm laborers on advent of farm mechanization in the area.

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Qing, Yi, Moyu Chen, Yu Sheng, and Jikun Huang. "Mechanization services, farm productivity and institutional innovation in China." China Agricultural Economic Review 11, no. 3 (September 2, 2019): 536–54. http://dx.doi.org/10.1108/caer-12-2018-0244.

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Purpose The purpose of this paper is to investigate the impact of mechanization services on farm productivity in Northern China from an empirical perspective, with the aim to identify the underlying market and institutional barriers. Design/methodology/approach The authors apply the regression method with the control of village fixed effects to examining the relationship between capital–labor ratio, mechanization service ratio and farm productivity, using the panel data collected in 2013 and 2015 by CCAP. Findings Mechanization services improve farm productivity through substituting labor, but it may generate a less positive impact on farms who do not have self-owned capital equipment. Originality/value It is the first study to investigate how mechanization services affect farm productivity for grain producers in Northern China.

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Moniruzzaman, Md Sadique Rahman, and Md Hayder Khan Sujan. "Determinants of Small-Scale Mechanization for Potato Farming: A Case from Bangladesh." Journal of Nepal Agricultural Research Council 7 (April 30, 2021): 75–82. http://dx.doi.org/10.3126/jnarc.v7i1.36923.

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Identifying the determinants of farm mechanization can play a crucial role in the agriculture sector’s development. The present study identifies the determinants of potato farm mechanization employing the ordered probit model. A total of 150 potato farmers were interviewed to achieve the objectives. The findings indicate that only around 13% of the respondents were high adopters. The adoption of potato farm mechanization was influenced by education, spouse education, farm size, and training. Marginal effect analysis suggested that farm size and training decrease the likelihood of being in the low adopter’s category, respectively, by 13.2% and 10%, while increases the likelihood of being in the high adopter’s category by 7.5% and 5.7%. Policy implications included more investment in extension facilities such as training from public agencies to sustain and increase adoption. Modifying the existing extension strategy by targeting not only primary farmers but also members of their families would help with the widespread adoption of farm mechanization.

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Hayami, Yujiro, and Toshihiko Kawagoe. "Farm mechanization, scale economies and polarization." Journal of Development Economics 31, no. 2 (October 1989): 221–39. http://dx.doi.org/10.1016/0304-3878(89)90013-8.

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Sharan, Girja. "Training Farmers for Mechanization." Vikalpa: The Journal for Decision Makers 13, no. 2 (April 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 bridge the gap to enable farmers to realize the full benefits of mechanization.

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KAWASAKI, Ken, Kyo KOBAYASHI, Shuji SASAKURA, Masayoshi NAKAYAMA, and Yoshitaka ONO. "Farm Mechanization System and Effective Lot Scale for Rice Cultivation in Paddy Field. I. Farm Mechanization System." Japanese Journal of Farm Work Research 27, no. 3 (1992): 185–94. http://dx.doi.org/10.4035/jsfwr.27.185.

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Saliou, Idelphonse O., Afio Zannou, Augustin K. N. Aoudji, and Albert N. Honlonkou. "Drivers of Mechanization in Cotton Production in Benin, West Africa." Agriculture 10, no. 11 (November 15, 2020): 549. http://dx.doi.org/10.3390/agriculture10110549.

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In the context of Africa’s farm labor scarcity, the use of mechanization is crucial for agricultural development. In Benin, technological advances, such as animal traction and motorization, are struggling to achieve the success expected by producers. The objective of this research was to analyze the drivers of mechanization in cotton production in Benin. Data collected from 482 cotton producers in three agroecological zones of the country were analyzed using a multinomial Logit model. The results revealed that 34% of cotton producers used hand tools, compared to 31% using draught animals and 35% using tractors. Variables such as education level, area cropped, access to land, access to credit and agroecological zone had a positive influence on the probability of using mechanization in the cotton production. Family labor size per household had a negative influence on the probability of using farm mechanization. Women were more likely to use farm mechanization than men. This research suggests that mechanization policies should adapt agricultural equipment to the specificities of the production systems of each agroecological zone, and strengthen land tenure security and access to credit, particularly for women cotton producers.

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Gunavant, Pradip S., Sarfraj J. Mulani, Vishal N. Gandhe, Gurunath Shinde, and Vinayak D. Yadav. "Farm Mechanization by using Seed Planting Machine." IARJSET 4, no. 1 (January 6, 2017): 75–79. http://dx.doi.org/10.17148/iarjset/ncdmete.2017.19.

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Ratnawati, Cristina. "MEKANISASI USAHATANI PADI DI KECAMATAN SANANWETAN KOTA BLITAR." JURNAL AGRI-TEK : Jurnal Penelitian Ilmu-Ilmu Eksakta 21, no. 1 (July 6, 2020): 20–28. http://dx.doi.org/10.33319/agtek.v21i1.53.

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Mechanization is one form of technology adoption to improve yields in rice farming. The aims of the research to determine the use of agricultural mechanization and its impact on rice farming in Sananwetan Sub-District, Blitar City expected to improve the standard of living and welfare of its group members. The number of samples taken was 50 rice farmers in Sananwetan Sub-District, Blitar City, chosen by using proportional random sampling. Data analysis using the Mann-Whitney Test and the Multiple Linear Regression Cobb Douglas Model. From the results of interviews in this study show that the use of the mechanization of rice farming in Sananwetan Sub-District, Blitar City is still not optimal. This was due to farmers' perceptions of the unsatisfactory results of agricultural machinery performance, a sense of humanity to 'farm laborers', narrow land area and insufficient availability of farm machinery. While from the results of Mann Whitney's test show that pesticide use and labor requirements were smaller and differed significantly in the use of full mechanization rather than partial mechanization. Other than that, the variable cost of the harvest is lower in the use of full mechanization and is significantly different compared to using the mechanism partially. Rice productivity in full mechanization was 782.15 kg / 1000m2 while partial mechanization was 682.87 kg / 1000m2. For farmers' income in full mechanization is IDR. 1,153,407, - per 1000 m2, in the partial mechanization of IDR. 1,590,574, - per 1000m2. From Cobb Douglas model multiple linear regression analysis found that land area (m2), seed costs and the use of mechanization had a significant effect on the income of rice farming in Sananwetan District, Blitar City.

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Karunakaran, K. R., T. Arivelarasan, and M. Udhaya Kumar. "Farm mechanization and agricultural growth in Eastern India." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 15, no. 2 (June 15, 2019): 239–49. http://dx.doi.org/10.15740/has/ijas/15.2/239-249.

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Umar, Bobboi. "The Role of Public and Private Tractor Hiring Units in Agricultural Mechanization: a Case Study from Adamawa State, Nigeria." Outlook on Agriculture 26, no. 1 (March 1997): 35–38. http://dx.doi.org/10.1177/003072709702600108.

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Mechanization of farm operations plays a vital role in increasing food production. Government agencies as well as private individuals and groups have acquired farm machinery in an attempt to meet farmers’ demands. But are these demands being met? If not, why not? Do farmers prefer the service-oriented public agricultural mechanization agencies to the profit-oriented private tractor hiring units? This article attempts to answer these questions and proffer some suggestions, taking Adamawa State, Nigeria, as a case study.

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Rajasree, R., Dr C. K. Timbadia, and Dr F. L. Sharma. "Constraints Perceived by Vegetable Growers for the use of Farm Mechanization." Current Agriculture Research Journal 5, no. 2 (August 3, 2017): 219–23. http://dx.doi.org/10.12944/carj.5.2.10.

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Emergence and application of farm mechanization helped in achieving the optimum crop production and reducing the human drudgery to an extent. Often farm mechanization is mistakenly perceived as tractor mechanization. Even though farm mechanization helps farmers in various ways it is not adopted on a full scale. Hence the study was conducted to find the constraints perceived by the farmers especially in vegetable cultivation. The study has been conducted in twelve villages of Vansda taluk of Navsari district of Gujarat which was purposively selected. Sixty respondents were randomly selected from the vegetable cluster units working in the area. A pre- structured questionnaire schedule was prepared for collecting data with regard to the constraints perceived by the farmers. Frequency for each constraint was given in descending order and based on that ranking order was given. From the investigation, it concludes that majority of the respondents were middle aged, had primary level of education and agriculture and livestock as their chief occupation. Majority of the respondents were marginal farmers and had an experience of above 25 years in agriculture and allied activities. Among the constraints, application of machines in heavy soil was troublesome ranked first ranked since Gujarat is a state having black soil, farmers found very difficult to operate the farm machines. Lack of credit facility, high variable cost and lack of technical support ranked third, fourth and fifth, respectively.

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Reddy, P. Nagarjuna, and Jagadeesh G. Angadi. "Mechanization Gap and Assessment of Farm Mechanization Requirement for Each Operation in Different Crops." International Journal of Current Microbiology and Applied Sciences 7, no. 12 (December 10, 2018): 1213–16. http://dx.doi.org/10.20546/ijcmas.2018.712.151.

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Milufarzana, Milufarzana, Hasna Hena Prianka, Selina Banu, Maisha Fahmida, and Farha Anjum Tapu. "PRESENT STATUS OF AGRICULTURAL MECHANIZATION: A STUDY ON THREE UPAZILAS OF PANCHAGARH DISTRICT IN BANGLADESH." International Journal of Advances in Agricultural Science and Technology 8, no. 9 (September 30, 2021): 41–51. http://dx.doi.org/10.47856/ijaast.2021.v08i9.006.

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Nowadays in Bangladesh, farm mechanization is one of the major cause of change in agricultural sector. Due to labor shortage and high wage rate of labor, farmers are compelled to accept farm mechanization. The purpose of the study was to assess the modern agricultural technologies used in Panchagarh district and develop statistical information. The study period was from August 2019 to October 2019. For this study, three places such as Panchagarh Sadar, Boda and Debiganj were selected. Present status was analyzed based on irrigation management system, tillage practices, insect control practices, harvesting and post-harvesting operation, drying and storage facilities for rice production. A structured questionnaire was used to collect the information’s of machinery used in selected places. The study revealed that irrigation, land preparation and crop protection was almost mechanized, but mechanization is still lacking in harvesting operation. There were no transplanter, seed drill and fertilizer applicator found in the study areas used by farmers. Crops were still dried through sun drying storage was done by the traditional storage technologies. It is a fact that mechanization is in progress in these areas but need more extension work with modern machineries. The government should develop proper planning by investigating present status of mechanization and improve the present condition by increasing machinery utilization.

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Kumagai, Sonoko Matsuda. "Farm Mechanization and Women's Life Pattern: -Changing Time Allocation-." International Journal of Japanese Sociology 3, no. 1 (October 1994): 99–119. http://dx.doi.org/10.1111/j.1475-6781.1994.tb00025.x.

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Sarkar, Anupam. "Agricultural Mechanization in India: A Study on the Ownership and Investment in Farm Machinery by Cultivator Households across Agro-ecological Regions." Millennial Asia 11, no. 2 (August 2020): 160–86. http://dx.doi.org/10.1177/0976399620925440.

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Despite the signs of distress and fatigue in Indian agriculture, the use of machines in crop operations has increased manifold in recent times. Proponents of mechanization argue that mechanization saves time and cost, and improves agricultural productivity. The Government of India has also encouraged mechanization through subsiding farm machinery and establishing custom hiring centres. Earlier studies have found significant regional variation in the spread of agricultural mechanization. Cost of cultivation data collected by Commission for Agricultural Costs and Prices (CACP) reveal that although the share of machine labour in the cost of cultivation per hectare has increased, there exist significant differences across crops in the use of mechanical input. Empirical studies in different regions have found a significant presence of the rental market for services of agricultural machinery. However, in recent years there have been very few studies on the patterns of mechanization based on household-level data on ownership and investment in agricultural machinery and implements. Agro-ecological characteristics of a region are said to have a significant impact on the level of mechanization. Ownership of machinery is also significantly influenced by the factors such as size of landholding, access to irrigation and access to institutional credit. The pattern of investment and ownership of machinery has important implications on the profitability of farming. This article uses unit-level data from the All-India Debt and Investment Survey (NSS 70th round 2013) to study the pattern of agricultural mechanization in India based on the ownership of agricultural machinery and implements. Using ownership and expenditure data it studies the questions of recent patterns in agricultural mechanization across agro-ecological regions and land classes.

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Kumar, Virender, S. K. Chauhan, Harbans Lal, Rajesh Thakur, and Divya Sharma. "Farm Mechanization in Himachal Pradesh: Constraints, Status and its Role in Augmenting Farm Incomes." Indian Journal of Economics and Development 14, no. 2 (2018): 235. http://dx.doi.org/10.5958/2322-0430.2018.00125.7.

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PARK, Won KYU. "A study on the utilization pattern of farm machinery and farm mechanization in Korea." Japanese Journal of Farm Work Research 25, no. 3 (1990): 275–81. http://dx.doi.org/10.4035/jsfwr.25.275.

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Hornowski, Andrzej, and Tomasz Kondraszuk. "USE METHODOLOGY OF BEP TO ANALYZE MECHANIZATION COSTS ON FARM." Annals of the Polish Association of Agricultural and Agribusiness Economists XIX, no. 3 (August 22, 2017): 85–91. http://dx.doi.org/10.5604/01.3001.0010.3364.

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The article attempts to adapt the BEP analysis methodology to assess the viability of agricultural machinery. It was assumed to treat the machine depreciation cost as a fixed cost, but only to the rational use threshold. Above this threshold, it was considered that depreciation should be calculated using the active method and treated as a variable cost. In this case it’s a technical potential and its wear becomes a bottleneck. In addition, it was considered reasonable to take into account the cost of interest on the capital employed, which would be a fixed cost. So far research on the efficiency of machinery utilization has focused on the quantitative analysis of their use, and the financial aspects are ignored. The proposed use of the BEP methodology allows not only quantitative and qualitative yield thresholds for the analyzed machine, but also the calculation of the limit values of the variable component costs (fuel prices, repairs) and fixed costs (garage, maintenance, interest rates).

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KAWABE, Hisao. "Unknown Episodes and History on the Farm Mechanization in Japan." Japanese Journal of Farm Work Research 31, no. 4 (1996): 273–78. http://dx.doi.org/10.4035/jsfwr.31.273.

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Mohapatra, Upasana, Pujarani Mishra, Raj Kishore Mishra, and Tapas Ranjan Sahoo. "Impact of farm mechanization on rice cultivation of Bargarh District." ORYZA- An International Journal on Rice 54, no. 4 (2017): 426. http://dx.doi.org/10.5958/2249-5266.2017.00058.3.

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REDDY, M. CHOWDA, and B. K. NARAYANA SWAMY. "Standardization of farm mechanization practices for the benefit of farmers." INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING 10, no. 2 (October 15, 2017): 481–87. http://dx.doi.org/10.15740/has/ijae/10.2/481-487.

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KAKIZAKI, Kyoichi. "Social Research on the Process of Farm Mechanization in Niike." Journal of Rural Studies 27, no. 1 (October 25, 2020): 25–33. http://dx.doi.org/10.9747/jars.27.1_25.

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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 (April 12, 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 the role of farm size expansion relative to per area machinery services expenditures (PAMSE). The empirical results reveal that there is a nonlinear relation between the farm size and PAMSE. Specifically, farm size expansion can reduce the PAMSE by improving mechanization efficiency in all cases, while the magnitude of cost-saving is progressively reduced in the process of farm scale expansion. In particular, a 1 mu (1 mu = 1/15 ha) increase in the farm scale could only lead to a 0.3% decrease in the PAMSE when the farm size exceeded 50 mu, which indicates that 50 mu is a minimum efficient farm scale to achieve most economies of scale. Therefore, we suggest that persistent efforts should be devoted to improving farmland circulation efficiency and developing scale farms. More importantly, governmental supporting policies, such as agricultural subsidies, need to attach more importance to these large farms.

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Shueller, John K. "In the Service of Abundance." Mechanical Engineering 122, no. 08 (August 1, 2000): 58–65. http://dx.doi.org/10.1115/1.2000-aug-3.

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This article focuses on the role of agriculture mechanization in the growth process in different fields. Many innovations in agricultural mechanization occurred in the middle of the 19th century. Agricultural mechanization is often exemplified by the development of the tractor. A key figure in the development of tractors was a Michigan farm boy who first became interested in technology when he saw a large steam traction engine. The adoption of the gasoline tractor was aided significantly by successful demonstrations and tests. The many 20th-century advancements in machinery to till soil, plant, remove weeds, and apply fertilizers and pesticides are too numerous to discuss here. However, at least harvesting equipment should be discussed because its mechanization trailed only tractors in importance. Cyrus McCormick’s reaper replaced human-powered cutting tools in small grains with a horse-drawn machine in the 19th century.

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Mohd Nawi, Nur Syazwani, Baba Md Deros, Norani Nordin, and Ezrin Hani Sukadarin. "DEVELOPMENT OF TECHNOLOGY MECHANIZATION ACCEPTANCE AND USE ACTION PLAN." Journal of Information System and Technology Management 5, no. 16 (March 15, 2020): 62–69. http://dx.doi.org/10.35631/jistm.516005.

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The palm oil industry is an advanced industry that benefits the country's economic stability. However, working in the oil palm plantations is very challenging and the farmworkers are exposed to many risks when doing day-to-day work. Most of the work on the farm is still using manual tools. There are farm management and workers who do not want to use machine tools due to reasons such as high cost, difficult to maintain, and burdensome. This study used an observation method in oil palm plantations and interviews with field managers to collect information. Verification of a pre-action plan is made before developing the final action plan. As such, the model was proposed as a step towards increasing the use of machinery in oil palm plantations to help ease the workload that the workers are carrying.

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Alvaro, Lester Lee R., Maria Kristina S. Angeles, Ericson C. Celis, Violy S. Dela Cruz, Jeremie Jean DL. Ebron, Ivy V. Espiritu, and Ma Germina Esquivel-Santos. "Effects of Farm Mechanization on the Lives of Rice Farm Workers of Cabanatuan City, Nueva Ecija." International Journal of Advanced Engineering, Management and Science 7, no. 8 (2021): 12–17. http://dx.doi.org/10.22161/ijaems.78.3.

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Dhiman, Mankaran, and Jaskaran Dhiman. "Infusion of farm mechanization technologies in Indian agriculture: progress and impact." Indian Journal of Economics and Development 11, no. 1 (2015): 125. http://dx.doi.org/10.5958/2322-0430.2015.00014.1.

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Mallesh, Samthoth, and Er Babban Yadav. "Farm mechanization level for paddy production in Uttar Pradesh: A review." Pharma Innovation 9, no. 8 (August 1, 2020): 114–18. http://dx.doi.org/10.22271/tpi.2020.v9.i8b.5011.

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Chand Reddy, Ravi Shankar, K. P. Raghuprasad, and Tanweer Ahmed. "Knowledge Level of Paddy Growers about Farm Mechanization in Paddy Cultivation." International Journal of Current Microbiology and Applied Sciences 7, no. 10 (October 10, 2018): 3062–67. http://dx.doi.org/10.20546/ijcmas.2018.710.357.

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Kavinya. M et al.,, Kavinya M. et al ,. "Utilization Behaviour of Rice Growers Towards Farm Mechanization in Villupuram District." International Journal of Agricultural Science and Research 9, no. 3 (2019): 157–62. http://dx.doi.org/10.24247/ijasrjun201924.

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MIYAKE, Yasuhiko. "Mechanization of Farm Operations as the Development of Man-Machine System." Japanese Journal of Farm Work Research 21, no. 2 (1986): 62–71. http://dx.doi.org/10.4035/jsfwr.21.62.

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KAWABE, Hisao. "Unknown Episodes and History on the Farm Mechanization in Japan (III)." Japanese Journal of Farm Work Research 32, no. 2 (1997): 117–21. http://dx.doi.org/10.4035/jsfwr.32.117.

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KAWABE, Hisao. "Unknown Episodes and History on the Farm Mechanization in Japan (II)." Japanese Journal of Farm Work Research 32, no. 1 (1997): 51–59. http://dx.doi.org/10.4035/jsfwr.32.51.

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Musa, Dauda Solomon. "Mechanization Effect on Farm Practices in Kwara State, North Central Nigeria." IOSR Journal of Engineering 02, no. 10 (October 2012): 79–84. http://dx.doi.org/10.9790/3021-021017984.

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Bautista, Elmer G., Jong-sun Kim, Yun-jung Kim, and Maria Evic Panganiban. "Farmer’s Perception on Farm mechanization and Land reformation in the Philippines." Journal of the Korean Society of International Agricultue 29, no. 3 (September 30, 2017): 242–50. http://dx.doi.org/10.12719/ksia.2017.29.3.242.

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Mondal, Tandra, and Pranab Kumar Nag. "HUMAN ENERGY UTILIZATION AND EFFECTIVENESS IN SMALL AND MARGINAL FARM HOLDINGS." International Journal of Research -GRANTHAALAYAH 6, no. 11 (November 30, 2018): 163–71. http://dx.doi.org/10.29121/granthaalayah.v6.i11.2018.1114.

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In India, small and marginal farmers have emerged as a distinct and dominant category. While farm mechanization represents a rapid transformation from traditional to modern methods of farming, it is not uniform across the crops and regions. The level of mechanization, however, remains scattered due to the compulsiveness to the situation dominated by the economic layout of farm holdings, land size, and large-scale deprivation of access to the technology suitable to small holdings. This present contribution elucidates the extent of use tools and machinery among the rice farmers of the state of Wes Bengal, India. Analysis revealed that the total number of man-days involved in paddy cultivation was 120-140 per ha, i.e., 900-1000 man-hours depending upon the availability of labour, tools, and machinery used for the individual operation. Analysis of farm work in small and marginal holdings evolved that over 90% of the total number of farmers use either tractor or power tiller for land preparation. Use of the animal-drawn country plough is gradually phased out in the study regions. For sowing and transplanting operations are primarily manual methods using hand tools. The study provided an insight of the issues of work methods and practices of the farmworkers in small and marginal farm holdings.

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Ratnawati, Cristina. "Mekanisasi Usahatani Padi Di Kecamatan Sananwetan Kota Blitar." Manajemen Agribisnis: Jurnal Agribisnis 20, no. 1 (February 18, 2020): 1. http://dx.doi.org/10.32503/agribisnis.v20i1.900.

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This research purposes for determining the use of agricultural mechanization and its impact on rice farming in Sidomulyo Gapoktan, of Sananwetan District of Blitar City, which is expected to improve the living standards and welfare of its group members. The total samples which taken were 50 rice farmers of Sidomulyo Gapoktan in Sananwetan District of Blitar City. The sampling taken using purposive random sampling technique, which is deliberately chosed based on criteria which determined by the researcher. The Data analysis was carried out descriptively, using the Mann-Whitney Test and the Multiple Linear Regression Cobb Douglas model. Based on the results of the study, it was found that the mechanization of rice farming in Sidomulyo Gapoktan, Sananwetan District, Blitar City has not still optimal. This is caused by the farmers' perceptions of the results of unsatisfactory performance of agricultural machinery, a sense of humanity towards' farm labors, narrow area of farming and insufficient availability of agricultural machinery. The result of reseach which was used Mann-Whitney Test analysis, found that pesticide using and labor requirements were smaller and differed significantly in the use of full mechanization rather than partial mechanization. Harvest variable costs were lower in the use of full mechanization and were significantly different than using partial mechanisms. The Productivity of rice in full mechanization is 782,15 kg / 1000m2 while in partial mechanization was 682.87 kg / 1000m2. For farmers' income in full mechanization is Rp. 1,153,407, - per 1000 m2, in partial mechanization of Rp. 1,590,574, - per 1000m2. Multiple Linear Regression Analysis of the Cobb Douglas model shows that the land area (m2), seed costs and the use of mechanization have a significant influence on the income of rice farming in Sananwetan District, Blitar City.

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Farnworth, Cathy Rozel, Aye Moe San, Nanda Dulal Kundu, Md Monjurul Islam, Rownok Jahan, Lutz Depenbusch, Ramakrishnan Madhavan Nair, Theingi Myint, and Pepijn Schreinemachers. "How Will Mechanizing Mung Bean Harvesting Affect Women Hired Laborers in Myanmar and Bangladesh?" Sustainability 12, no. 19 (September 23, 2020): 7870. http://dx.doi.org/10.3390/su12197870.

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Farm mechanization can promote the economic sustainability of small farms and in the context of cereal-legume systems strengthen plant protein-based diets, which support human health and environmental sustainability. However, mechanization inevitably displaces hired laborers who depend on manual farm work for their income. Few studies have systematically analyzed the differential effects on women and men hired labor. Here, we use primarily qualitative data from Myanmar and Bangladesh to test the hypothesis that the effects of mechanizing mung bean harvesting—which is now commencing in both countries—are likely to weaken women hired workers’ economic and personal empowerment. We focus on rural landless women laborers as an important part of the agricultural labor force. The results broadly confirm the hypothesis, although there is variation between the research sites. Harvesting mung beans is the only fieldwork task available to many landless women, particularly married women with children, in both countries. Gendered restrictions on women’s mobility and their role as family caregivers, as well as norms about appropriate work for women and men, restrict women’s options regarding alternative work both locally and further away. The effects are likely to be particularly negative in locations with minimal off-farm economic diversity and more restrictive gender norms. Overall, men across all sites will be less affected since their participation rates in harvesting and post-harvest processing are low. They are less restricted by gender norms and can travel freely to find work elsewhere. However, women and men in low asset households will find it problematic to find alternative income sources. Less restrictive gender norms would help to mitigate the adverse effects of farm mechanization. It is important to invest in gender transformative approaches to stimulate change in norms and associated behaviors to make a wider range of choices possible.

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Matsubara, Takeo, Chi Thanh Truong, Canh Dung Le, Yoshiaki Kitaya, and Yasuaki Maeda. "Transition of Agricultural Mechanization, Agricultural Economy, Government Policy and Environmental Movement Related to Rice Production in the Mekong Delta, Vietnam after 2010." AgriEngineering 2, no. 4 (December 17, 2020): 649–75. http://dx.doi.org/10.3390/agriengineering2040043.

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This study examines sustainable agricultural development in Vietnam by focusing on rice production in the Mekong Delta. Vietnam is the third largest rice-exporting country in the world and more than 90% of rice for export is from the Mekong Delta. We attempt to identify changes in the rice industry, specifically examining farming mechanization, trends in farm operation, and farm household economy. The main structure of our study is based on our direct interviews with 420 farmer households, 81 registered large farm owners, 75 farming service providers, and local government members. We carried out those interviews in 2013 and 2014. We identified several important changes brought by technological advances, economic modernization, government policies, and environmental movements. One important finding was the increasing trend of agricultural land per farmer household, such as from 1.98 to 2.27 ha in 2010 to 2018, and the decreasing trend of labor force, which pushed up agricultural mechanization. Another point was the land law revised in 2013, which allowed farmers to borrow (no private land ownership in Vietnam) farms up to 30ha/household if registered as a “Trang Trai” farm. Farmers accepted the use of tractors and combine harvesters; however, rice seed sowing was not mechanized, so rice transplanters were rarely used for rice planting. Among the processes of rice production, sowing of rice seeds was the least mechanized. In order to achieve more sustainable agricultural practices, we recommend improving the mechanization of the rice seed sowing process for the Mekong Delta farmers with acceptable conditions. Another finding was positive movements among Mekong Delta researchers and farmers to improve their rice quality to be accepted as high-quality rice in the global rice market and to dispel the bad reputation of the past.

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Konstantinidis, Charalampos. "Capitalism in Green Disguise: The Political Economy of Organic Farming in the European Union." Review of Radical Political Economics 50, no. 4 (June 26, 2018): 830–52. http://dx.doi.org/10.1177/0486613417717482.

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Following the post-1992 Common Agricultural Policy, organic farming has expanded rapidly in the European Union. This growth is often considered evidence of the success of a distinctive model of small-scale family-farm agriculture. However, I show that European organic farms display features (large farm size, low labor intensity, high prevalence of mechanization, and adoption of monocultures) that are characteristic of capitalist rather than peasant farms. These features raise doubts about whether European organic farming exemplifies repeasantization. JEL Classification: B50, O13, Q18

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U. Paman, S. Inaba, and S. Uchida. "Determining Mechanization Capacity and Time Requirement for Farm Operations: A Case of Small-Scale Rice Mechanization in Riau Province, Indonesia." Applied Engineering in Agriculture 28, no. 3 (2012): 333–38. http://dx.doi.org/10.13031/2013.41486.

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Singh, AK, and Sukhbir Singh. "Farm mechanization in sugarcane cultivation to enhance the income of smallholder farmers." Current Advances in Agricultural Sciences(An International Journal) 9, no. 2 (2017): 210. http://dx.doi.org/10.5958/2394-4471.2017.00037.5.

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Gudadur, Krishna. "A Study on Paddy Growers Awarness on Farm Mechanization in Uttarkannada, Karnataka." International Journal of Pure & Applied Bioscience 6, no. 1 (February 28, 2018): 117–22. http://dx.doi.org/10.18782/2320-7051.5911.

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Shoba, H., N. Rajeshwari, and H. Yogeeshappa. "A Study on Farm Mechanization Level of Farmers in North Karnataka, India." International Journal of Current Microbiology and Applied Sciences 7, no. 2 (February 10, 2018): 652–57. http://dx.doi.org/10.20546/ijcmas.2018.702.080.

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Semko, N. M., N. H. Horodetska, and N. B. Havryshkiv. "SEMANTIC STRUCTURE OF ENGLISH TERMS-NAMES OF MACHINES FOR ANIMAL FARM MECHANIZATION." Тrаnscarpathian Philological Studies 3, no. 13 (2020): 72–76. http://dx.doi.org/10.32782/tps2663-4880/2020.13-3.13.

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Journal articles on the topic 'Farm mechanization. Farm mechanization'

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