Relevant bibliographies by topics / Farm machinery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Farm machinery'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Farm machinery"

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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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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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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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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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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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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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Dissertations / Theses on the topic "Farm machinery"

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Elshami, Omar Mohd Eltom. "A management information system for farm machinery management." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240836.

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Saadoun, Tahar. "Agricultural machinery selection and scheduling of farm operations." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/27322.

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The procedure of calculating annual machinery ownership costs from the discounted cash flows of the mortgaged capital cost, the repair and insurance charges and the resale income is extended to include the effect of loan rate and loan period on interest charges, the effect of capital allowances taking account of the actual balancing charges at the end of the period of ownership, and the effect of tax relief on the interest charges, repair costs and insurance premiums. The concept of marginal holding cost is applied to determine the optimum ownership period. The selection of tractor- plough com
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Bell, Paul Kevin Thomas. "The estimation of economic depreciation for Canadian farm machinery." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24475.

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The objective of this thesis was to estimate the rate at which four types of farm machinery lose value in Canada. Specifically, Canadian data on used machinery prices was utilized to produce estimates of economic depreciation for two-wheel-drive tractors, combines, square balers and large round balers. The data used in this thesis to make these estimates are special for two reasons. First of all, they represent the only extensive record of Canadian used farm equipment prices available. Most previous studies have based their estimates on American data, assuming that they apply equally well to
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Yule, Ian J. "A decision support system for farm machinery budgeting and selection." Thesis, University of Newcastle Upon Tyne, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242352.

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Nagaoka, Alberto Kazushi [UNESP]. "Desenvolvimento e avaliação do desempenho de um equipamento para ensaio dinâmico de rodado agrícola individual." Universidade Estadual Paulista (UNESP), 2001. http://hdl.handle.net/11449/101930.

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Made available in DSpace on 2014-06-11T19:31:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-02-05Bitstream added on 2014-06-13T20:22:38Z : No. of bitstreams: 1 nagaoka_ak_dr_botfca.pdf: 2279820 bytes, checksum: 149eef5c845342281d3c5d15503e3456 (MD5)<br>O principal objetivo deste trabalho foi desenvolver, instrumentar e avaliar o desempenho de um equipamento para ensaio de pneus agrícolas acoplado a um trator, acionado pela sua tomada de potência, com a finalidade de ensaiar dinâmica e individualmente pneus em condição de campo e avaliar o efeito da passagem do pneu no solo. O equi
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Faller, Douglas. "Degradation of farm work and resistance to deskilling in the Canadian prairies, the case of farm machinery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0010/MQ35834.pdf.

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Worley, Stacy K. "Bearing failure detection in farm machinery using low-cost acoustic techniques." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06302009-040529/.

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Nagaoka, Alberto Kazushi. "Desenvolvimento e avaliação do desempenho de um equipamento para ensaio dinâmico de rodado agrícola individual /." Botucatu : [s.n.], 2001. http://hdl.handle.net/11449/101930.

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Orientador: Kléber Pereira Lanças<br>Banca: Ulisses Rocha Antuniassi<br>Banca: João Eduardo Guarnetti Santos<br>Banca: Marcos Milan<br>Banca: Haroldo Carlos Fernandes<br>Resumo: O principal objetivo deste trabalho foi desenvolver, instrumentar e avaliar o desempenho de um equipamento para ensaio de pneus agrícolas acoplado a um trator, acionado pela sua tomada de potência, com a finalidade de ensaiar dinâmica e individualmente pneus em condição de campo e avaliar o efeito da passagem do pneu no solo. O equipamento foi desenvolvido no Núcleo de Ensaios de Máquinas e Pneus Agrícolas (NEMPA), per
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Lindgren, Magnus. "Engine exhaust gas emissions from non-road mobile machinery : effects of transient load conditions /." Uppsala : Dept. of Biometry and Engineering, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/a481.pdf.

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Smith, Benjamin. "Factors affecting the annual unit sales volume of combines in the United States." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/35264.

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Master of Agribusiness<br>Department of Agricultural Economics<br>Allen M. Featherstone<br>In the United States, accurately predicting the agricultural industry’s future demand for new farm machinery is a complicated, challenging and ever-changing issue. To compound the matter; as the size of large farm machinery continues to increase, the annualized sales volume is decreasing over time. This thesis also finds that recent mandates applicable to the Environmental Protection Agency (EPA) diesel engine emission compliance and the Internal Revenue Service (IRS) Section 179 tax code may help with f
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Books on the topic "Farm machinery"

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Culpin, Claude. Farm machinery. BSP Professional Books, 1987.

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Culpin, Claude. Farm machinery. Blackwell Scientific, 1992.

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Corporation, British Broadcasting. Farm machinery. Films for the Humanities & Sciences, 1991.

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Bell, Brian J. Farm machinery. 3rd ed. Farming Press, 1989.

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Stephen, R. J. Farm machinery. F. Watts, 1986.

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Culpin, C. Farm machinery. Collins, 1986.

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David, West. Farm machinery. Smart Apple Media, 2015.

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Hansen, Ann Larkin. Farm machinery. Abdo & Daughters Pub., 1996.

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Food, Ontario Ministry of Agriculture and. Farm machinery storages. Ministry of Agriculture and Food, 1991.

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Agriculture, Manitoba Manitoba. Farm machinery economics. Agri-Food, 1989.

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Book chapters on the topic "Farm machinery"

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Garrido Izard, Miguel. "Telemetry and farm fleet management." In Manuali – Scienze Tecnologiche. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.31.

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Nowadays farm machinery is incorporating new subsystems for the interchange of data between different mobile equipment and also with the base office. Such systems allow to know in real time basic information about how tasks are being performed in the field (where each tractor and machine is located, surface coverage, dose applied, fuel usage, etc. ) but also allow proper synchronization between machines working together (such a combine and a set of supporting trucks). The analysis and management of this information is important for the optimization of field tasks.
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Mkomwa, S., P. Kaumbutho, and P. Makungu. "Farm Machinery for Conservation Agriculture." In Conservation Agriculture. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11620-4_5.

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Lohan, Shiv Kumar, and Mahesh Kumar Narang. "Farm Machinery for Conservation Agriculture." In Agricultural Impacts of Climate Change. CRC Press, 2019. http://dx.doi.org/10.1201/9780429326349-16.

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Reddy, P. Parvatha. "Efficient Use of Farm Machinery." In Sustainable Intensification of Crop Production. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2702-4_22.

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Heege, Hermann J. "Precision in Guidance of Farm Machinery." In Precision in Crop Farming. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6760-7_4.

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Kumar, Rohitashw, and Vijay P. Singh. "Application of Plastic in Farm Machinery." In Plasticulture Engineering and Technology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003273974-18.

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Vieri, Marco, Daniele Sarri, Stefania Lombardo, et al. "Tech innovation systems in agriculture." In Manuali – Scienze Tecnologiche. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.04.

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The technological models related to farm machinery have had a different evolution in relation to structural and social conditions. Thus we have the American - Western model, capital intensive, with large machines and at the opposite the Asian model, labor intensive, with small and sophisticated machines suitable for small and family farms. Even if, in the large scale machinery, the implementation of new technologies requires less investment in percentage, all farm technical management system may have advantages by the new technology: a) measuring parameters and processes, b) assessing data by
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Arogundade, Oluwasefunmi, Rauf Qudus, Adebayo Abayomi-Alli, et al. "A Mobile-Based Farm Machinery Hiring System." In Proceedings of Second International Conference on Computing, Communications, and Cyber-Security. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0733-2_15.

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Moreda, Guillermo P. "Automated guidance of agricultural machinery." In Manuali – Scienze Tecnologiche. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.12.

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In modern agriculture, tractors have been fitted with accessories and technologies to help the tractor guidance. In this topic, these technologies will be explained describing different possibilities for the adoption of farm machinery guidance aids. Differences between systems helping the guidance and autosteering systems will be defined, along with current state of legislation concerning unmanned vehicles. Levels of precision in the track of the machinery will be explained, related with the GNSS technology onboard. Consequences of a better tractor guidance on farm tasks and economy will be ou
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Singh, Sukhpal. "Farm Machinery Rental Services: Case Studies from Punjab." In Institutional Innovations in the Delivery of Farm Services in India. Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3753-2_3.

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Conference papers on the topic "Farm machinery"

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Subrahmanya, Trilochan Pradhan, Sauda Shabbir Shaikh, Ruchitha N. Shetty, and T. Shreekumar. "Agriconnect: Revolutionizing Farm Machinery Booking." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690476.

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Shiying, Li. "Optimum Design of Farm Machinery Parameters Based on Ant Colony Algorithm." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774946.

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Quick, Graeme R., and Tom Schleffer. "Farm Machinery Costs: Profitable Options." In Proceedings of the 10th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 1998. http://dx.doi.org/10.31274/icm-180809-618.

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Purschwitz, Mark A. "Biomedical Implications for Farm Machinery Design." In International Off-Highway & Powerplant Congress & Exposition. SAE International, 1994. http://dx.doi.org/10.4271/941729.

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"Farm Machinery and Processes Management in Sustainable Agriculture." In Farm Machinery and Processes Management in Sustainable Agriculture. IN-W Spatium, 2019. http://dx.doi.org/10.24326/fmpmsa.2019.1.1.

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PILARCZYK, Maria. "Sustainable Farm Management: Integrating Safety, Efficiency, and Environmental Practices." In Terotechnology XIII. Materials Research Forum LLC, 2024. http://dx.doi.org/10.21741/9781644903315-22.

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Abstract. This article explores the concept of sustainable farm management by integrating safety protocols, operational efficiency, and environmental practices on individual farms. The focus is on the synergistic benefits of combining these elements to foster a sustainable and productive agricultural environment. We discuss the current challenges in farm safety, particularly the management of agricultural machinery, and the best practices for reducing accidents and enhancing machine efficiency. Case studies illustrate the practical applications of integrated approaches and the long-term benefi
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Ding, Xueying. "Optimization Model of Wind Farm." In 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/msmee-17.2017.202.

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Taylor, Brendan, Gourab Sen Gupta, and Ken Mercer. "Flexible architecture to automate farm machinery operation: Preliminary results." In 2016 IEEE Sensors Applications Symposium (SAS). IEEE, 2016. http://dx.doi.org/10.1109/sas.2016.7479879.

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Olson, G. M., and R. R. Johnson. "The Impact of Conservation Tillage on Farm Machinery Design." In 37th Annual Earthmoving Industry Conference. SAE International, 1986. http://dx.doi.org/10.4271/860742.

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"Uncertainty of Influence Factors for Farm Machinery Operation Scheduling." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152189856.

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Reports on the topic "Farm machinery"

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Chhim, Chhun, Bora Buth, and Sothy Ear. Effect of Labour Movement on Agricultural Mechanisation in Cambodia. Cambodia Development Resource Institute, 2015. https://doi.org/10.64202/wp.107.201509.

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This paper looks at the effect of labour movement on farm mechanisation in rural Cambodia. The study focuses on labour movement from on-farm towards off-farm jobs, and uses investment in agricultural machinery as a proxy for farm mechanisation. Statistics show that in recent years there has been a huge outmigration from rural areas. This has had significant impacts on farming practices across the country. Farmers can no longer depend on a ready supply of labourers, which in turn necessitates more investment in agricultural machinery to maintain production and productivity. Our results are robu
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Bhattarai, Madhusudan, Gajendra Singh, Hiroyuki Takeshima, and Ravindra S. Shekhawat. Farm machinery use and the agricultural machinery industries in India: Status, evolution, implications, and lessons learned. International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293809_03.

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Research Institute (IFPRI), International Food Policy. Farm machinery use and agricultural industries in India: Status, evolution, implications and lessons learned. International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1032568654.

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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development o
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Baconguis, Rowena. Agricultural Technology: Why Does the Level of Agricultural Production Remain Low Despite Increased Investments in Research and Extension? Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.06.

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Adoption of new practices and technologies influences farm productivity and agricultural growth. Countries invest in research and extension to ensure continuous growth both at the farm and industry level. This paper investigates agricultural technology production, its knowledge transfer, and farm and industry level performance. The study used the agricultural innovation systems (AIS) as lens in investigating the agricultural performance of the country, focusing on rice and swine industry. The governance of research, development, and extension continues to be negatively affected by the overlaps
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Wang, Sun Ling, Richard (Richard F. ). Nehring, Roberto Mosheim, and Eric Njuki. Measurement of output, inputs, and total factor productivity in U.S. agricultural productivity accounts. Economic Research Service, U.S. Department of Agriculture, 2024. https://doi.org/10.32747/2024.8755132.ers.

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The U.S. Department of Agriculture (USDA) has been monitoring the U.S. farm sector's productivity performance since the 1960s. Today, USDA, Economic Research Service (ERS) bases its U.S. agricultural productivity statistics on a sophisticated system of production accounts, drawing data from numerous sources. A notable feature of the U.S. productivity accounts is the input quality adjustment, as some inputs have undergone significant changes in their quality over time. According to USDA, ERS estimates, between 1948 and 2021, total farm output grew by 1.46 percent annually. With total input decl
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Foster, Andrew, and Mark Rosenzweig. Are There Too Many Farms in the World? Labor-Market Transaction Costs, Machine Capacities and Optimal Farm Size. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23909.

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Haddad, Joanne. Reproduction of 'Are There Too Many Farms in the World? Labor Market Transaction Costs, Machine Capacities, and Optimal Farm Size'. Social Science Reproduction Platform, 2022. http://dx.doi.org/10.48152/ssrp-ccsf-hd16.

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Armstrong, J. J. Joint FAM/Line Management Assessment Report on LLNL Machine Guarding Safety Program. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1297649.

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Neitzel, S. M., J. W. Serraris, B. Deetman, et al. Exploring co-use of offshore wind farms by passive fisheries in Borssele wind farm, the Netherlands : An experimental study on the technical, ecological, economic and safety considerations of fishing with handline, gill nets, pots and jigging machines. Wageningen Marine Research, 2024. http://dx.doi.org/10.18174/659099.

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