Literatura académica sobre el tema "Crop price"
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Artículos de revistas sobre el tema "Crop price"
Nsabimana, Aimable, Fidele Niyitanga, Dave D. Weatherspoon y Anwar Naseem. "Land Policy and Food Prices: Evidence from a Land Consolidation Program in Rwanda". Journal of Agricultural & Food Industrial Organization 19, n.º 1 (2 de marzo de 2021): 63–73. http://dx.doi.org/10.1515/jafio-2021-0010.
Texto completoGhutake, Ishita, Ritesh Verma, Rohit Chaudhari y Vidhate Amarsinh. "An intelligent Crop Price Prediction using suitable Machine Learning Algorithm". ITM Web of Conferences 40 (2021): 03040. http://dx.doi.org/10.1051/itmconf/20214003040.
Texto completoRamsey, A. Ford, Sujit K. Ghosh y Barry K. Goodwin. "Rating exotic price coverage in crop revenue insurance". Agricultural Finance Review 80, n.º 5 (1 de mayo de 2020): 609–31. http://dx.doi.org/10.1108/afr-10-2019-0107.
Texto completoLiang, Yan, J. Corey Miller, Ardian Harri y Keith H. Coble. "Crop Supply Response under Risk: Impacts of Emerging Issues on Southeastern U.S. Agriculture". Journal of Agricultural and Applied Economics 43, n.º 2 (mayo de 2011): 181–94. http://dx.doi.org/10.1017/s1074070800004156.
Texto completoYe, Minghua, Rongming Wang, Guozhu Tuo y Tongjiang Wang. "Crop price insurance in China: pricing and hedging using futures market". China Agricultural Economic Review 9, n.º 4 (6 de noviembre de 2017): 567–87. http://dx.doi.org/10.1108/caer-12-2015-0178.
Texto completoBWALA, M. A., Y. ROSAINE y S. BAUER. "RISK PERCEPTION AMONG FARM HOUSEHOLDS IN NORTH CENTRAL REGION OF NIGERIA: A LOWER PARTIAL MOMENT APPROACH". Journal of Agricultural Science and Environment 15, n.º 1 (2 de marzo de 2016): 48–59. http://dx.doi.org/10.51406/jagse.v15i1.1473.
Texto completoShafer, Carl E. "Price and Value Effects of Pecan Crop Forecasts, 1971–1987". Journal of Agricultural and Applied Economics 21, n.º 1 (julio de 1989): 97–103. http://dx.doi.org/10.1017/s0081305200000959.
Texto completoV, Niharika. "Crop Gen Forecast". International Journal for Research in Applied Science and Engineering Technology 10, n.º 8 (31 de agosto de 2022): 472–77. http://dx.doi.org/10.22214/ijraset.2022.46222.
Texto completoGuenthner, Joseph F. "Forecasting Annual Vegetable Plantings". HortTechnology 2, n.º 1 (enero de 1992): 89–91. http://dx.doi.org/10.21273/horttech.2.1.89.
Texto completoN, Karunakaran. "Growth of Crop-output in Kerala–Is it Real or monetary?" Artha - Journal of Social Sciences 14, n.º 4 (1 de octubre de 2015): 89. http://dx.doi.org/10.12724/ajss.35.5.
Texto completoTesis sobre el tema "Crop price"
Zhang, Xiaohua 1964. "Price expectations in perennial crop supply models". Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/291531.
Texto completoKantanantha, Nantachai. "Crop decision planning under yield and price uncertainties". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24676.
Texto completoCommittee Co-Chair: Griffin, Paul; Committee Co-Chair: Serban, Nicoleta; Committee Member: Liang, Steven; Committee Member: Sharp, Gunter; Committee Member: Tsui, Kwok-Leung
Soares, Abilio Barros. "Crop Price and Land Use Change: Forecasting Response of Major Crops Acreage to Price and Economic Variables in North Dakota". Thesis, North Dakota State University, 2015. https://hdl.handle.net/10365/27685.
Texto completoIIE team Fulbright sponsorship
North Dakota State University. Department of Agribusiness and Applied Economics
National Science Foundation (NSF). Grant Number IIA-1355466
Amrouk, El Mamoun [Verfasser]. "Price dynamics and interaction of international cash crop and staple food markets / El Mamoun Amrouk". Bonn : Universitäts- und Landesbibliothek Bonn, 2021. http://d-nb.info/1230878602/34.
Texto completoOricho, George Odero. "Short run irrigation water demand : an empirical evaluation of the role of price, crop and technology choice". Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/14386.
Texto completoConsiderable interest has arisen regarding irrigation water use in, especially, arid areas where competition for this scarce but crucial commodity is likely to intensify. The immediate implication is that user sectors, of which irrigated agriculture is the largest, must ensure efficient and conservative use of scarce water resources, using it sparingly and in high value I return economic activities. Central to the desire for efficient use, in a free market, is the role that proper pricing of water (so that its scarcity value is accurately reflected) could play in limiting farmers' derived short-run irrigation water demand, crop choices, and their choice of technology for irrigation. Using a multi- product firm framework, we have here constructed and modelled four central farm decision functions: the short-run demand function for irrigation water demand; the farmer's crop choice decision; the choice of irrigation technology; and lastly, a crop output equation. We conclude that irrigation water price does not influence short-run irrigation water demand, neither does it affect the farmer's choice of crops or technology. Our fourth equation, the crop output equation, however, demonstrates the important role water plays in irrigation agriculture. Using farm budget data from Orange Free State and Transvaal, which are collected by the Directorate of Agricultural Economics for short - term planning purposes, we conclude that the apparent inefficacy of water costs as a tool for ensuring the efficient and conservative utilisation of irrigation water is due to the relatively negligible weight water inputs have relative to the farmers' capital and operating costs. Water prices alone cannot , therefore, be relied upon as an effective tool for efficient water utilisation in irrigated agriculture in the study area.
Johnson, Christian J. "The effect of crop yield and feed price variability on profitability of dairy farming in Virginia: a target MOTAD approach". Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/41920.
Texto completoThe empirical model is developed in four steps. First, the model activities such as milking and feeding of cows, heifer and calf activities, crop production, harvesting, labor, and buying and selling activities were created. Second, variable yields based on probability elicitation from dairy farmers were generated. Third, variable prices based on commodity options were generated; and fourth a target income constraint was derived.
Results from the analysis indicated that the target income constraint was exceeded in every state of nature for the representative farm resulting in an efficiency frontier of a single point. Increasing the assumed debt-asset ratio and annual debt service requirement, resulted in a risk-return tradeoff with lower levels of risk (measured as mean deviation below target or MDBT) being obtained at the expense of lower levels of expected returns.
At a higher debt asset-ratio, when the mean deviation below target (MDBT) was varied over a range of values, the quantity of crops harvested also varied. The average harvested acres of alfalfa and corn silage increased as the MDBT increased while the harvested acres of corn grain and ryelage decreased. Alfalfa harvest is increased because less forage in terms of ryelage is harvested and the average quantity of corn grain decreases as the MDBT increases because more com silage is grown in place of the costlier but less risky ryelage.
The results show that hedging and participation in the government feed grain program could
lead to effective risk reduction and increases in expected returns for the dairy farmer. Government
program participation increased expected returns at all debt-asset ratios. Both government programs
and hedging reduced risks at higher debt-asset ratios. Government program participation led to
larger gains in expected returns as the availability of land increased.
Master of Science
Maluleke, Ikageng Martha. "Grain planting progress report : the potential benefits for the South African grain industry". Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/60832.
Texto completoDissertation (MSc (Agric))--University of Pretoria, 2017.
Agricultural Economics, Extension and Rural Development
MSc (Agric)
Unrestricted
Dant, Madeline L. "AN ANALYSIS OF FACTORS IMPACTING HAY AUCTION PRICES AND THE POTENTIAL FOR NAP TO REDUCE ALFALFA REVENUE RISK". UKnowledge, 2017. http://uknowledge.uky.edu/agecon_etds/52.
Texto completoFehervari, Gabor. "The factors affecting the timing and volume of sales in Hungarian farmers' crop marketing decisions : an alternative perspective on the theory of price of storage". Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/75020/.
Texto completoSantos, Lana Mara Rodrigues dos. "Programação de rotação de culturas - modelos e métodos de solução". Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-09062009-110129/.
Texto completoOver the last decades, various proposals for techniques and processes to increase agricultural sustainability have been put forward. These proposals bring new planning models in which technical and ecological production aspects must be considered, as well as the access of small farmers to the consumer market. In this type of agricultural production planning, crop rotation plays a fundamental role as it contributes to maintaining productive resources, to reducing the use of non-renewable resources, and to biologically controlling the population of herbivores, pathogens and spontaneous plants. In this thesis, two problems concerning the Crop Rotation Schedule (CRS) focusing on sustainable production vegetables are addressed: the problem of the CRS having Adjacent constraints (CRS-A) and the problem of the CRS under Demand constraints (CRS-D). Production planning of vegetables is complex as it generally involves a large number of crop species having specific limitations regarding the planting season and very varied production times and productivity. The crop rotation schedule problem is formulated as an optimization model 0-1, and for both problems, in each schedule technical (planting and harvesting season etc.) and ecological (green manure, fallow etc.) aspects are considered. Concerning the CRS-A problem, the aim is to maximize the occupation of cropping areas in which planting constraints are extended to adjacent areas. As the mathematical formulation for the problem generally has a large number of restrictions and variables and the structure of the constraint matrix of the problem is sparse and block-diagonal, the model has been reformulated using the Dantzig-Wolfe Decomposition strategy, which has enabled the use of a heuristic and exact procedures based on the column generation approach for its resolution. In the CRS-D problem, the aim is to meet the market demands for vegetables having a set of heterogeneous cropping areas available. The potential planting crops, as well as their productivity, depend on the considered cropping area. The problem is formulated as an optimization linear model in which each variable is associated to a crop rotation schedule. The model may include a large number of rotation schedules and is solved by the column generation approach. Computational experiments using instances based on real-world data confirm the efficiency of models and methodologies proposed for the problems
Libros sobre el tema "Crop price"
Mielke, Myles J. Government intervention in the Mexican crop sector. Washington, DC (1301 New York Ave., NW., Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, 1989.
Buscar texto completoW, Rosegrant Mark, ed. Price and investment policies for food crop sector growth in the Philippines. Washington, D.C: International Food Policy Research Institute, 1986.
Buscar texto completoUnited States. Congressional Budget Office., ed. Diversity in crop farming: Its meaning for income-support policy. [Washington, D.C.?]: Congress of the U.S., Congressional Budget Office, 1985.
Buscar texto completoFielder, Lonnie L. Measurement of price, yield, and revenue variability for Louisiana crops. Baton Rouge, La: Dept. of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, 1985.
Buscar texto completoChite, Ralph M. Farm disaster payments: Recent history and specialty crop issues. [Washington, D.C.]: Congressional Research Service, Library of Congress, 1994.
Buscar texto completoUnited States. Department of Agriculture. Economic Research Service, ed. Alternatives to a state-based ACRE program: Expected payments under a national, crop district, or county base. Washington, D.C.]: Economic Research Service, U.S. Dept. of Agriculture, 2011.
Buscar texto completoResponding to the continuing economic crisis adversely affecting American agricultural producers: Report together with additional views (to accompany H.R. 2213) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2001.
Buscar texto completoUS GOVERNMENT. An Act to Respond to the Continuing Economic Crisis Adversely Affecting American Agricultural Producers. [Washington, D.C: U.S. G.P.O., 2001.
Buscar texto completoNational Research Centre for Orchids (India), ed. Our crop our pride: Custodian farmers of traditional crops of Sikkim. Pakyong, Sikkim: ICAR-National Research Centre for Orchids, 2016.
Buscar texto completoUnited States. Congress. House. Committee on Agriculture. Subcommittee on Wheat, Soybeans, and Feed Grains. 1988 wheat program announcement and county loan rates for the 1987 wheat crop: Hearing before the Subcommittee on Wheat, Soybeans, and Feed Grains of the Committee on Agriculture, House of Representatives, One Hundredth Congress, first session, July 13, 1987. Washington: U.S. G.P.O., 1987.
Buscar texto completoCapítulos de libros sobre el tema "Crop price"
Streeten, Paul. "Towards a Country and Crop Typology". En What Price Food?, 8–10. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-18921-2_3.
Texto completoPrajwal, C. Y., K. S. Chandan, S. Likith, M. S. Poorna Prajwal y B. Santhosh. "Crop Price Prediction Using Deep Learning". En ICT Infrastructure and Computing, 297–302. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5331-6_31.
Texto completoChintapalli, Prashant y Christopher S. Tang. "The Impact of Crop Minimum Support Price on Crop Production and Farmer Welfare". En Agricultural Supply Chain Management Research, 247–64. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-81423-6_14.
Texto completoVikram, R., R. Divij, N. Hishore, G. Naveen y D. Rudhramoorthy. "Crop Price Prediction Using Machine Learning Naive Bayes Algorithms". En Smart Innovation, Systems and Technologies, 27–34. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2541-2_3.
Texto completoJain, Drashi, Choudhary Nikita y Megha Kamble. "Crop Yield Quantity and Price Prediction: An Ensemble Approach". En Communications in Computer and Information Science, 110–20. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8896-6_9.
Texto completoMooney, Richard L., Charles E. O’Rear, G. Craig Llewellyn y Gerald C. Llewellyn. "Aflatoxin Occurrence in Virginia Price Support-Corn: 1986 Crop-Year". En Biodeterioration Research, 207–27. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-9453-3_16.
Texto completoGanguly, Kavery y Ashok Gulati. "Pulses Value Chain- Pigeon Pea and Gram". En India Studies in Business and Economics, 253–86. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-33-4268-2_8.
Texto completoCoble, Keith H. y Thomas O. Knight. "Crop Insurance as a Tool for Price and Yield Risk Management". En A Comprehensive Assessment of the Role of Risk in U.S. Agriculture, 445–68. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3583-3_20.
Texto completoGlauber, Joseph W. y Mario J. Miranda. "The Effects of Southern Hemisphere Crop Production on Trade, Stocks, and Price Integration". En Food Price Volatility and Its Implications for Food Security and Policy, 83–100. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28201-5_4.
Texto completoKumar, Vikash, Anjali Chauhan, Avinash Kumar Shinde, Ramesh L. Kunkerkar, Deepak Sharma y Bikram Kishore Das. "Mutation breeding in rice for sustainable crop production and food security in India." En Mutation breeding, genetic diversity and crop adaptation to climate change, 83–99. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0009.
Texto completoActas de conferencias sobre el tema "Crop price"
Langarudi, Saeed P. y Carlos G. Silva. "Crop Price Volatility and its Influence on Crop Patterns". En CSS 2017: CSSSA's Annual Conference on Computational Social Science. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3145574.3145579.
Texto completoSawyer, John E. "Fertilizing Crops in the New Price Age - Nitrogen". En Proceedings of the 19th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2008. http://dx.doi.org/10.31274/icm-180809-943.
Texto completoWang, Senhua y Rui Li. "Research on the Relationship between Crop Cost and Price". En 2016 International Conference on Management Science and Innovative Education. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/msie-16.2016.124.
Texto completoThapaswini, G. y M. Gunasekaran. "A Methodology for Crop Price Prediction Using Machine Learning". En 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2022. http://dx.doi.org/10.1109/icmnwc56175.2022.10031852.
Texto completoPETRE, Ionut Laurentiu y Iuliana DOBRE. "STUDY ON THE ECONOMIC EFFICIENCY OF THE MAIN OLEAGINOUS CULTURES IN ROMANIA". En Competitiveness of Agro-Food and Environmental Economy. Editura ASE, 2022. http://dx.doi.org/10.24818/cafee/2019/8/07.
Texto completoGallagher, Paul, Guenter Schamel y Hosein Shapouri. "Some Price and Cost Analysis for the Corn Processing Sector". En Proceedings of the 13th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2000. http://dx.doi.org/10.31274/icm-180809-737.
Texto completoMallarino, Antonio P. "Fertilizing Crops in the New Price Age - Phophorus and Potassium". En Proceedings of the 19th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2008. http://dx.doi.org/10.31274/icm-180809-944.
Texto completoJain, Ayush, Smit Marvaniya, Shantanu Godbole y Vitobha Munigala. "Towards Context-based Model Selection for Improved Crop Price Forecasting". En CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD). New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3493700.3493725.
Texto completoK, Dhanasekaran, Ramprasath M, Sathiyamoorthi V, Poornima N y Irrai Anbu Jayaraj. "Meta-Learning Based Adaptive Crop Price Prediction for Agriculture Application". En 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2021. http://dx.doi.org/10.1109/iceca52323.2021.9675891.
Texto completoKozlova, Zoya, Lyubov' Matais y Ol'ga Glushkova. "Influence of sainfoin on soil fertility and agro-economic indicators of fodder crop rotations under conditions of East Siberia". En Multifunctional adaptive fodder production23 (71). ru: Federal Williams Research Center of Forage Production and Agroecology, 2020. http://dx.doi.org/10.33814/mak-2020-23-71-67-72.
Texto completoInformes sobre el tema "Crop price"
Policy Support Activity, Myanmar Agriculture. Myanmar agricultural performance survey (Q1 2022): Farmgate prices and marketing by crop farmers. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.135937.
Texto completoAlemu, Dawit y Tirhas Kinfe. Responses of Rice Farmers Engaged in Vegetable Production: Implications of the Collapse of Vegetable Prices in the Fogera Plain. Institute of Development Studies (IDS), julio de 2021. http://dx.doi.org/10.19088/apra.2021.017.
Texto completoNin Pratt, Alejandro y Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, diciembre de 2020. http://dx.doi.org/10.18235/0002955.
Texto completoOsidoma, Japhet y Ashiru Mohammed Kinkwa. Creatively Improving Agricultural Practices and Productivity: Pro Resilience Action (PROACT) project, Nigeria. Oxfam, febrero de 2021. http://dx.doi.org/10.21201/2021.7260.
Texto completoSalavisa, Isabel, Mark Soares y Sofia Bizarro. A Critical Assessment of Organic Agriculture in Portugal: A reflection on the agro-food system transition. DINÂMIA'CET-Iscte, 2021. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2021.05.
Texto completoReisch, Bruce, Avichai Perl, Julie Kikkert, Ruth Ben-Arie y Rachel Gollop. Use of Anti-Fungal Gene Synergisms for Improved Foliar and Fruit Disease Tolerance in Transgenic Grapes. United States Department of Agriculture, agosto de 2002. http://dx.doi.org/10.32747/2002.7575292.bard.
Texto completoMawassi, Munir, Baozhong Meng y Lorne Stobbs. Development of Virus Induced Gene Silencing Tools for Functional Genomics in Grapevine. United States Department of Agriculture, julio de 2013. http://dx.doi.org/10.32747/2013.7613887.bard.
Texto completoGurevitz, Michael, William A. Catterall y Dalia Gordon. face of interaction of anti-insect selective toxins with receptor site-3 on voltage-gated sodium channels as a platform for design of novel selective insecticides. United States Department of Agriculture, diciembre de 2013. http://dx.doi.org/10.32747/2013.7699857.bard.
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