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Artykuły w czasopismach na temat "Farm performance"

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Kostlivý, Vladimír, Zuzana Fuksová, and Tamara Rudinskaya. "Drivers of farm performance in Czech crop farms." Agricultural Economics (Zemědělská ekonomika) 66, No. 7 (2020): 297–306. http://dx.doi.org/10.17221/231/2019-agricecon.

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When analysing drivers affecting the farm performance, the presence of different technologies should be taken into account. We assume that the technology used by crop farms is not the same for all producers and therefore we use latent class model to identify technological classes at first. Class definition is based on multidimensional classification and determination of indices given by the values of individual components. The principal components analysis is applied to estimate significant and robust weights for the index components. FADN (Farm Accountancy Data Network) database, Czech crop f
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Ma, Wanglin, Alan Renwick, and Quentin Grafton. "Farm machinery use, off-farm employment and farm performance in China." Australian Journal of Agricultural and Resource Economics 62, no. 2 (2018): 279–98. http://dx.doi.org/10.1111/1467-8489.12249.

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Kirby, Andrew, Takafumi Nishino, Luca Lanzilao, Thomas D. Dunstan, and Johan Meyers. "Turbine- and farm-scale power losses in wind farms: an alternative to wake and farm blockage losses." Wind Energy Science 10, no. 2 (2025): 435–50. https://doi.org/10.5194/wes-10-435-2025.

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Abstract. Turbine–wake and farm–atmosphere interactions can reduce wind farm power production. To model farm performance, it is important to understand the impact of different flow effects on the farm efficiency (i.e. farm power normalised by the power of the same number of isolated turbines). In this study we analyse the results of 43 large-eddy simulations (LESs) of wind farms in a range of conventionally neutral boundary layers (CNBLs). First, we show that the farm efficiency ηf is not well correlated with the wake efficiency ηw (i.e. farm power normalised by the power of front-row turbines
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Bojnec, Štefan, and Laure Latruffe. "Farm size, agricultural subsidies and farm performance in Slovenia." Land Use Policy 32 (May 2013): 207–17. http://dx.doi.org/10.1016/j.landusepol.2012.09.016.

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Gloy, Brent A., Jeffrey Hyde, and Eddy L. LaDue. "Dairy Farm Management and Long-Term Farm Financial Performance." Agricultural and Resource Economics Review 31, no. 2 (2002): 233–47. http://dx.doi.org/10.1017/s1068280500004032.

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The financial performance and relationships between several management factors and financial performance are examined in a panel of 107 New York dairy farms. A panel regression model with fixed effects is estimated in an effort to identify management factors that influence profitability. The model is estimated with two-stage least squares to account for endogenous farm size and debt use variables. Production management factors such as farm size, rate of milk production, and milking system had a positive impact on farm profitability. Financial management variables for the type of accounting sys
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Mulvaney, C. J., and D. J. Maccoll. "Monitoring and benchmarking farm performance." NZGA: Research and Practice Series 16 (January 1, 2016): 87–93. http://dx.doi.org/10.33584/rps.16.2016.3262.

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Summary StockCARE has become recognised as a programme that can add value to sheep and beef farm businesses. The recognition is most likely built on some of the key features and benefits: • A systems based programme which has been proven to add value • Monitoring and benchmarking are the platform, but the intensity of the collection, interpretation and utilisation of information related to key drivers of every production system, is unique • StockCARE has a proven framework for a disciplined approach to the collection and analysis of production information. • The initial emphasis is on
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Verhees, Frans J. H. M., Abele Kuipers, and Marija Klopcic. "Entrepreneurial Proclivity and Farm Performance." International Journal of Entrepreneurship and Innovation 12, no. 3 (2011): 169–77. http://dx.doi.org/10.5367/ijei.2011.0039.

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Farmers are advised to be entrepreneurial, but there is scant research showing that an entrepreneurial proclivity (EP) in farmers results in better performance. This study tests empirically whether an EP contributes to the performance of farms. A model with hypotheses about the relationship between EP and performance is provided and tested for a sample of Dutch and Slovenian farmers. EP has a universal positive influence on the performance and performance expectations of farmers in The Netherlands and in Slovenia. Proactiveness is the most influential element of EP for the performance of farms
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Roe, E., H. Buller, and J. Bull. "The performance of farm animal assessment." Animal Welfare 20, no. 1 (2011): 69–78. http://dx.doi.org/10.1017/s096272860000244x.

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AbstractThis paper argues that the current drive towards greater use of animal-based measures for welfare assessment raises important issues for how farm visits by welfare assessors are performed. As social scientists, we employ a number of contemporary social science ideas to offer a new approach to examining the practice and performance of farm animal assessment. We identify key findings from a recent study of contemporary farm assessment and speculate upon what some of the challenges of introducing animal-based measures may be. We conclude by arguing for a greater awareness of how sets of k
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Pederson, Glenn, Ananth Rao, and Michael Boehlje. "Determinants of Restructured Farm Loan Performance." Journal of Agricultural and Applied Economics 23, no. 2 (1991): 39–48. http://dx.doi.org/10.1017/s008130520001815x.

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AbstractA probabilistic model is applied to cross-sectional data to identify determinants of post-restructure performance of Federal Land Bank loans. The results indicate that restructured loans were sensitive to factors that determine the debt repayment burden and the repayment ability of the restructured farm operations. Loan performance is found to be relatively more sensitive to the levels of the post-restructure interest rate and cash farm income than to the financial structure and leverage position of the restructured farm. The relationships between the post-restructure interest rate, ca
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Veidal, Asbjørn, and Ola Flaten. "Entrepreneurial Orientation and Farm Business Performance." International Journal of Entrepreneurship and Innovation 15, no. 2 (2014): 101–12. http://dx.doi.org/10.5367/ijei.2014.0147.

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This study advances research on entrepreneurial orientation (EO) in the farming sector by examining how the configuration of on-farm diversification and location shapes the relationship between EO and farm business performance (archival financial performance and self-reported non-financial performance). Data were collected from 400 farms included in the Norwegian Farm Business Survey. The research hypotheses were tested using hierarchical moderated regression analysis. As hypothesized, a positive relationship was found between EO and non-financial performance. Other hypotheses were not confirm
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Rozprawy doktorskie na temat "Farm performance"

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Dunaway, Tarrah M. "Farm Financial Performance of Kentucky Farms." UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/13.

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This study examines farm financial performance of Kentucky farms using Kentucky Farm Business Management data from 1998-2010. Logit models are used to estimate the likelihood of farm characteristics affecting whether financial ratios fall into critical zones or not. The results show that large farms in terms of total gross returns and total assets are less likely to experience repayment capacity problems. Total gross returns significantly affect all five financial measures. These findings will help farmers and lenders understand what factors influence farm financial performance. Profitability
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Florey, Barrie H. W. "Appraising farm business financial performance indicators." Thesis, Bangor University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417259.

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Newkirk, Kevin J. "Financial performance comparison for ABC Farm." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/19692.

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Master of Agribusiness<br>Department of Agricultural Economics<br>Michael Langemeier<br>This thesis had two objectives. One objective was to compare one northeast Kansas farm's financial performance from 2002 through 2011 to various groups of farms participating in the Kansas Farm Management Association (KFMA) during the same period. The second objective was to compare the crop acreage growth trends of the same northeast Kansas farm from 2002 through 2011 to the same groups of farms participating in the KFMA. In this thesis the northeast Kansas farm was referred to as ABC Farm. The purpose
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Haugsten, Hansen Thomas. "Offshore Wind Farm Layouts : Performance Comparison for a 540 MW Offshore Wind Farm." Thesis, Norwegian University of Science and Technology, Department of Electrical Power Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9990.

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<p>This master thesis has been written at the Department of Electric Power Engineering at the Norwegian University of Science and Technology. The work has been carried out at the Royal Institute of Technology in Stockholm, where the author spent the last year of his studies as an exchange student. In the thesis, six different designs of the electrical grid of a 540 MW offshore wind farm, placed 100km off the Norwegian coast, have been studied and compared. At this distance, AC cable transmission might be difficult because of the reactive power production in the cables. Taking this into consid
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Osborne, William A. "IMPROVING FARM MANAGEMENT DECISIONS BY ANALYZING PRODUCTION EXPENDITURE ALLOCATIONS AND FARM PERFORMANCE STANDING." UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/20.

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This study examines the potential effects of categorical increases in production expenditures on farm income performance according to farm standing. The objective of this study is to expose differences in anticipated net farm income return from production expenditure investments and the optimal expense allocation strategy for each performance level. Studying farm performance through segregation by utilizing a two-tier analysis and quantile regression acknowledges the possibility that managerial strategy can differ based on managerial ability. Study outcomes are useful to farm managers because
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Li, Simeng. "WIND ARRAY PERFORMANCE EVALUATION MODEL FOR LARGE WIND FARMS AND WIND FARM LAYOUT OPTIMIZATION." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405080318.

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Victoria, Vanessa Francesca Villanueva. "Impacts of Best Management Practices on Farm Financial Performance." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/36192.

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A rapidly changing global agribusiness environment creates a challenge for commercially oriented agricultural producers to improve business acumen through strategy development and execution. A best management practice is broadly defined as a practice that is considered to be most effective in improving business performance. This study examined the relationship of financial leverage and management practices with financial performance on a group of Minnesota and Northwest farms. Management practices were classified into seven broad categories of management, namely strategic planning, financ
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Smith, Robert Edward. "Land tenure and farm performance in Zambia's southern province." Thesis, SOAS, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421863.

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Ait, Sidhoum Amer. "Sustainability and firm performance : evidence from corportate and farm level." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/664276.

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This thesis approaches the question of sustainability and firm performance. In the contemporary business model, firm performance measurement must take into account not only economic profits, but also environmental and social issues, in order to ensure the sustainable development of the firm. By using advanced methodological approaches and exploring sustainability through a holistic view, this thesis contributes significantly to sustainability performance literature. Three specific objectives have been fulfilled through three papers that constitute the main body of the present thesis. The firs
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Parmlind, Erik. "Energy analysis of farm-based biogas plants in Sweden." Thesis, Sveriges lantbruksuniversitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-231095.

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It is projected that energy demand worldwide will double from 2009 until 2050. There is a demand for additional clean renewable energy, which can be supplied by biogas. Farm-based biogas plants exist in small numbers in Sweden; for the benefit of society it important to increase their numbers throughout the country. The aim of this report is to create the tools to allow for a competent evaluation of newly built farm-based biogas plants from an energy efficiency and environmental perspective. In this thesis data from newly built plants has been analyzed to determine mistakes that could be avoid
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Książki na temat "Farm performance"

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Ahearn, Mary C. Financial performance of specialized dairy farms. U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Ahearn, Mary. Financial performance of specialized dairy farms. U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Ahearn, Mary. Financial performance of specialized dairy farms. U.S. Dept. of Agriculture, Economic Research Service, 1987.

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Morehart, Mitchell J. Farm businesses end the decade with strong financial performance. U.S. Dept. of Agriculture, Economic Research Service, 1990.

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1950-, Johnson James, Banker David E, and United States. Department of Agriculture. Economic Research Service, eds. Farm businesses end the decade with strong financial performance. U.S. Department of Agriculture, Economic Research Service, 1990.

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Fernandez-Cornejo, Jorge. Off-farm income, technology adoption, and farm economic performance. USDA, Economic Research Service, 2007.

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Fernandez-Cornejo, Jorge. Off-farm income, technology adoption, and farm economic performance. USDA, Economic Research Service, 2007.

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Tauer, Loren W. Risk preference and long-run performance of the dairy farm. Dept. of Agricultural Economics, Cornell University Agricultural Experiment Station, New York State College of Agriculture and Life Sciences, 1986.

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Weinberg, Marca. Rewarding farm practices versus environmental performance. U. S. Dept. of Agriculture, Economic Research Service, 2006.

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Northern Ireland. Department of Agriculture and Rural Development. Economics and Statistics Unit. Benchmarking farm performance in Northern Ireland. DARDNI, 2003.

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Części książek na temat "Farm performance"

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Kokic, Philip N., Ray L. Chambers, and Steve Beare. "Microsimulating Farm Business Performance." In Tools and Techniques for Social Science Simulation. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-51744-0_17.

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Danelutto, M. "Task Farm Computations in Java." In High Performance Computing and Networking. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45492-6_38.

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Diederen, Paul, Hans van Meijl, and Arjan Wolters. "Innovation and Farm Performance: The Case of Dutch Agriculture." In Innovation and Firm Performance. Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230595880_4.

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Joseph M. Lord, Jr., and James E. Ayars. "Chapter 21. Evaluating Performance." In Design and Operation of Farm Irrigation Systems, 2nd Edition. American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23704.

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Vermorel, M. "Effects of Climatic Conditions on Energy Metabolism and Performance of Calves." In Energy Metabolism in Farm Animals. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3363-7_12.

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Tonchia, Stefano, and Luca Quagini. "The Monte dei Paschi di Siena “Controlling Data Farm”, the CPM of the Oldest Bank in the World." In Performance Measurement. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13235-3_8.

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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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Ali, M. H. "Performance Evaluation of Irrigation Projects." In Practices of Irrigation & On-farm Water Management: Volume 2. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7637-6_4.

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Lee, Jason T., and Kyle D. Brown. "Mannanase, α-galactosidase and pectinase: minor players or yet to be exploited?" In Enzymes in farm animal nutrition, 3rd ed. CABI, 2022. http://dx.doi.org/10.1079/9781789241563.0005.

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Abstract This chapter describes the composition, chemical structure, modes of action, application and effects on animal performance of beta-mannanase, alpha-galactosidase and pectinase as feed additives in animal diets.
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Morales, Gabriel A., Lorenzo Márquez, Adrian J. Hernández, and Francisco J. Moyano. "Enzyme use in aquaculture." In Enzymes in farm animal nutrition, 3rd ed. CABI, 2022. http://dx.doi.org/10.1079/9781789241563.0010.

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Abstract This chapter describes the main consequences of non-starch polysaccharides (NSPs) and inositol phosphate isomers (InsPs) on nutrient digestibility, absorption, fish performance, health, the environment and how the use of enzymes in aquaculture contributes to more efficient and eco-friendly fish production.
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Streszczenia konferencji na temat "Farm performance"

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Su, Keye, and Donald Bliss. "Wind Farm Performance Improvement by Using Wake Transport." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11583.

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Wake shielding on wind farms substantially reduces the efficiency of downstream wind turbines due to the interaction with the energy-depleted wakes from upwind turbines. This research considers a method to mitigate the wake shielding effect by tilting the turbine axes upward producing a download that causes streamwise vorticity so that the energy depleted wakes transport upward alleviating shielding, and pumping more energetic fluid into downstream turbines. The wake steering effect for tipped turbines is verified and the degree of effectiveness is assessed. The simulations utilize a specially
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Lei, Lei, Yi Zhang, Shunfen Li, Long Qian, and Yanhan Hu. "Analysis and Optimization of Wind Farm Operational Performance." In 2025 IEEE 8th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2025. https://doi.org/10.1109/itoec63606.2025.10968431.

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Singh, Priya, Ramesh Rayudu, Praveen Kumar, and Abhisek Ukil. "Study of HVDC-based Offshore Wind Farm Performance under New Zealand Context." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905216.

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Sakouchi, Abderrahim, Abdelkader Djahbar, and Elhadj Bounadja. "Enhanced Performance of Wind Farm Systems with Multi-phase PMSGs using Backstepping Control." In 2024 International Conference on Advances in Electrical and Communication Technologies (ICAECOT). IEEE, 2024. https://doi.org/10.1109/icaecot62402.2024.10828844.

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Youssef, Marwa M. M., Yasmin Ahmed Mohamed, Omar Noureldeen, and I. Hamdan. "A Review of FACTS Devices in The Performance Enhancement of Wind Farm with Grid Requirements." In 2024 25th International Middle East Power System Conference (MEPCON). IEEE, 2024. https://doi.org/10.1109/mepcon63025.2024.10850344.

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Benyahia, Khaled, Larbi Boumediene, and Abdelkader Mezouar. "Efficiency and performance of mixed wind farm using photovoltaic solar farm as STATCOM." In 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC). IEEE, 2015. http://dx.doi.org/10.1109/irsec.2015.7455092.

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Shingarwade, Nikita D., and S. C. Suryavanshi. "Performance Evaluation of Cloud Based Farm Automation." In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. http://dx.doi.org/10.1109/iccubea.2017.8463774.

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Phillips, S., IB Shin, C. Armstrong, and D. Kyle-Spearman. "Performance Evaluation of Wind-Farm Support Vessels." In International Conference on the Design and Construction of Wind Farm Vessels 2014. RINA, 2014. http://dx.doi.org/10.3940/rina.wfv.2014.15.

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Phillips, S., IB Shin, and C. Armstrong. "Crew Transfer Vessel Performance Evaluation." In Design & Operation of Wind Farm Support Vessels 2015. RINA, 2015. http://dx.doi.org/10.3940/rina.wfv.2015.04.

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Ananthan, V., S. Tadepalli, and A. Rasheed. "A Scalable Cloud-Native Computational Framework with Applications in Wind Farm Optimization." In EAGE Seventh High Performance Computing Workshop. European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.2023630009.

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Raporty organizacyjne na temat "Farm performance"

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MANN, F. M., and J. D. CRUMPLER. PERFORMANCE OBJECTIVES FOR TANK FARM CLOSURE PERFORMANCE ASSESSMENTS. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/859138.

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MANN, F. M. PERFORMANCE OBJECTIVES FOR TANK FARM CLOSURE PERFORMANCE ASSESSMENTS. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/820864.

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MANN, F. M., A. J. KNEPP, and J. BADDEN. Performance Objective for Tank Farm Closure Risk Assessments. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/810632.

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DOUGLAS, D. G., P. C. OHL, and E. CRUZ. Performance Objective for Tank Farm Closure Risk Assessments. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/810633.

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Tranel, Larry F. Millionaire Model Dairy Farm Performance in Iowa, 2015. Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-340.

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Tranel, Larry F. Millionaire Model Dairy Farm Performance in Iowa, 2016. Iowa State University, 2018. http://dx.doi.org/10.31274/ans_air-180814-379.

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Policy Support Activity, Myanmar Agriculture. Myanmar agricultural performance survey (Monsoon 2022): Farm commercialization. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136693.

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Policy Support Activity, Myanmar Agriculture. Myanmar agricultural performance survey (Q3 2022): Farm commercialization. International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136476.

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Jordan, J. M., G. P. Flach, and M. L. Westbrook. PORFLOW Modeling Supporting The H-Tank Farm Performance Assessment. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1060770.

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Policy Support Activity, Myanmar Agriculture. Myanmar agricultural performance survey (dry season 2023): Farm commercialization. International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136906.

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