Relevant bibliographies by topics / Farm power and machinery

Contents

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

Academic literature on the topic 'Farm power and machinery'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Farm power and machinery"

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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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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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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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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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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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Paman, Ujang, Khairizal, and Selvia Sutriana. "Investigating Farm Machinery Breakdowns and Service Support System Conditions in Rainfed Rice Areas in Riau Province, Indonesia." Asian Journal of Agriculture and Rural Development 12, no. 3 (2022): 182–91. http://dx.doi.org/10.55493/5005.v12i3.4578.

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Farm machinery breakdowns are the most common problems farmers face in field operations. The problems can cause losses of time, power, and money and must therefore be prevented. This research investigates farm machinery breakdowns and loss of machine power, as well as service support conditions in Riau Province, Indonesia. Most data were collected from secondary sources published by the Food Crop and Horticulture Services of Riau Province and the Statistical Bureau of Riau Province. The data on service support facilities were obtained through field visits to service support sites in the provin
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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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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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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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Dissertations / Theses on the topic "Farm power and machinery"

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Boulanger, Isabelle. "Lillgrund Wind Farm Modelling and Reactive Power Control." Thesis, KTH, Elektriska energisystem, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119256.

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The installation of wind power plant has significantly increased since several years due to the recent necessity of creating renewable and clean energy sources. Before the accomplishment of a wind power project many pre-studies are required in order to verify the possibility of integrating a wind power plant in the electrical network. The creation of models in different software and their simulation can bring the insurance of a secure operation that meets the numerous requirements imposed by the electrical system. Hence, this Master thesis work consists in the creation of a wind turbine model.
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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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Mohammadi, Mohammad Mehdi. "PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444115.

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In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. However, the limited number of contributions and differences in the used databases give rise to several questions which this study has aimed to answer. Therefore, in this study, 5-min SCADA data from the Lillgrund wind farm has been used to train two feed-forward neural networks to predict the fatigue loads at the blade root in flapwise and edgewise directio
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Books on the topic "Farm power and machinery"

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Hunt, Donnell. Farm power and machinery management. Iowa State University Press, 2001.

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Hunt, Donnell. Farm power and machinery management. 9th ed. Iowa State University Press, 1995.

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Sims, B. G. Farm power and mechanization for small farms in sub-Saharan Africa. Food and Agriculture Organization of the United Nations, 2006.

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Sims, B. G. Farm power and mechanization for small farms in sub-Saharan Africa. Food and Agriculture Organization of the United Nations, 2006.

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Inc, Caterpillar, ed. Caterpillar performance handbook. Caterpillar, 1995.

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Graham, R. Electrical demand profiles at six wind monitoring sites. Scottish Agricultural College, Engineering Dept., 1999.

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

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

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Book chapters on the topic "Farm power and machinery"

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Kannapiran, E., S. Jaganathan, N. R. Govinthasamy, and E. Kalaivani. "Real-time solar farm performance monitoring using IoT." In Machine Learning and the Internet of Things in Solar Power Generation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003302964-5.

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Shetto, Richard, Saidi Mkomwa, Ndabhemeye Mlengera, and Remmy Mwakimbwala. "Conservation agriculture in the southern highlands of Tanzania: learnings from two decades of research for development." In Conservation agriculture in Africa: climate smart agricultural development. CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0006.

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Abstract Since its introduction into the Southern Highlands of Tanzania by researchers 25 years ago, Conservation Agriculture (CA) has been well received, researched and the concept proven to be increasing productivity and incomes, enhancing resilience of livelihoods and contributing to reducing greenhouse gas emissions. CA research, as defined by the three interlined principles, was introduced into the Southern Highlands by the Tanzania Agricultural Research Institute (TARI) Uyole, formerly Agricultural Research Institute (ARI) Uyole around 1995. Research results showed a labour saving of up
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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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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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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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Sørensen, P., Jakob Mann, U. S. Paulsen, and A. Vesth. "Wind Farm Power Fluctuations." In Wind Energy. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_25.

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Conference papers on the topic "Farm power and machinery"

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Petrov Mihov, Petar, and Bohos Rupen Aprahamian. "Specifics in Offshore Wind Farm Generators – Risks, Ideas, Drawbacks in Different Concepts." In 2025 19th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2025. https://doi.org/10.1109/elma65795.2025.11083399.

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Hangun, Batuhan, Emine Akpinar, Murat Oduncuoglu, Oguz Altun, and Onder Eyecioglu. "A Hybrid Quantum-Classical Machine Learning Approach to Offshore Wind Farm Power Forecasting." In 2024 13th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2024. https://doi.org/10.1109/icrera62673.2024.10815339.

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Davi, Moisés J. B. B., Talita M. O. A. Cunha, Emanuel P. G. Oliveira, and Mário Oleskovicz. "Exploring Machine Learning-Based Solutions for Fault Classification and Region Identification in Onshore Wind Farm Collector Systems." In 2024 21st International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2024. https://doi.org/10.1109/ichqp61174.2024.10768736.

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K Kumari, W. M. S., and N. Yapage. "Performance Comparison of Machine Learning Approaches for Predicting Wind Power Generation of Thambapavani Wind Farm in Sri Lanka." In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, 2024. https://doi.org/10.1109/slaai-icai63667.2024.10844974.

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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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He, Haiping, Jiang Cao, Yu Sun, Qinglin Bo, Lei Li, and Xuemei Yang. "One Power Control Strategy of Wind Farm Based on the Battery Energy Storage." In Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/ammee-17.2017.7.

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KRASZKIEWICZ, Artur, and Ignacy NIEDZIÓŁKA. "Emission of Hydrogen During Combustion of Plant Biomass Pellets on the Grate of a Low Power Boiler." In IX International ScientificSymposium "Farm Machinery and Processes Management in Sustainable Agriculture". Departament of Machinery Exploittation and Management of Production Processes, University of Life Sciences in Lublin, 2017. http://dx.doi.org/10.24326/fmpmsa.2017.36.

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Ivantysyn, Roman, and Jürgen Weber. "Novel Open Circuit Displacement Control Architecture in Heavy Machinery." In 8th FPNI Ph.D Symposium on Fluid Power. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fpni2014-7806.

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Motivated by the ever-stricter demands by lawmakers to lower emissions of mobile machinery and increasing fuel prices, mobile machinery has gone through a paradigm shift. Fuel efficiency has become a major selling point of machine producers. Even the heavy machinery branch, which is mainly dominated by reliability, productivity and serviceability, has started to feel this change. Hydraulic systems of large scale, as can be found in mining excavators, have typically been based on simplicity and durability. Typical architectures are open-center hydraulic systems, which were designed with robustn
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Das, D., J. Pan, and S. Bala. "HVDC Light for large offshore wind farm integration." In 2012 IEEE Power Electronics and Machines in Wind Applications (PEMWA). IEEE, 2012. http://dx.doi.org/10.1109/pemwa.2012.6316363.

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Reports on the topic "Farm power and machinery"

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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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Author, Not Given. Advanced power electronics and electric machinery program. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1216752.

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Muelaner, Jody Emlyn. Decarbonized Power Options for Non-road Mobile Machinery. SAE International, 2023. http://dx.doi.org/10.4271/epr2023002.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Power options for off-road vehicles differ substantially from other commercial vehicles. Battery electrification is suitable for urban construction and light agriculture, but remote mining, forestry, and road building operations will require alternative fuels.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Decarbonized Power Options for Non-road Mobile Machinery&lt;/b&gt; discusses these domains as well as the potential benefits and challenges of implementing fuels and energy sources such as bioenergy, e-fuels
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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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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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none,. 2008 Annual Progress Report - Advanced Power Electronics and Electric Machinery. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1218387.

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Lambrecht, Isabel, and Kristi Mahrt. Gendered farm work, off-farm employment, and decision-making power: Quantitative evidence from Tajikistan. International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136488.

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Olszewski, M. Oak Ridge National Laboratory Annual Progress Report for the Power Electronics and Electric Machinery Program. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/921775.

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Olszewski, Mitchell. FY2009 Oak Ridge National Laboratory Annual Progress Report for the Power Electronics and Electric Machinery. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/970914.

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Olszewski, Mitchell. Oak Ridge National Laboratory Annual Progress Report for the Power Electronics and Electric Machinery Program. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/974618.

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