Gotowe bibliografie tematyczne / Farm yield

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Gotowa bibliografia na temat „Farm yield”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 19 lipca 2025

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Artykuły w czasopismach na temat "Farm yield"

OVASKA, S., S. MYYRÄ, J. K. NIEMI, and P. PELTONEN-SAINIO. "Optimal renewal interval for malting barley seed." Journal of Agricultural Science 154, no. 6 (2015): 1062–67. http://dx.doi.org/10.1017/s0021859615001021.

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SUMMARYThe present study explored the optimal long-term seed renewal strategy for malting barley for use either of farm-saved seed (FSS) or commercially certified seed (CCS). The dynamic optimization problem was solved by a dynamic programming routine with known parameters for one-period returns and transition equations. The model parameters represented Finnish farm-level returns and costs, as well as genetic improvements in barley yield potential. The results suggested that there is a farm-level economic incentive not to use CCS every year, despite the higher yield potential of CCS compared w

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Fajardo, M., and B. M. Whelan. "Within‐farm wheat yield forecasting incorporating off‐farm information." Precision Agriculture 22, no. 2 (2021): 569–85. http://dx.doi.org/10.1007/s11119-020-09779-3.

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Liu, X., S. Li, P. He, P. Zhang, and Y. Duan. "Yield and nutrient gap analysis for potato in northwest China." Journal of Agricultural Science 156, no. 8 (2018): 971–79. http://dx.doi.org/10.1017/s0021859618000916.

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AbstractAnalysis of the potato yield gap and the corresponding nutrient gap can help in devising strategies and measurements to increase productivity for closing the gaps through improved practices. On-farm experiments conducted in the main potato production areas of northwest China were used to determine attainable yield. Official statistical data were used to determine the actual on-farm yield. Yield gap was the difference between attainable yield and actual on-farm yield. Nutrient gap was calculated by dividing the size of yield gap by partial factor productivity. Results indicated that nit

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Kyaw, Yadanar, Thi Phuoc Lai Nguyen, Ekbordin Winijkul, Wenchao Xue, and Salvatore G. P. Virdis. "The Effect of Climate Variability on Cultivated Crops’ Yield and Farm Income in Chiang Mai Province, Thailand." Climate 11, no. 10 (2023): 204. http://dx.doi.org/10.3390/cli11100204.

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Agriculture, entwined with climatic conditions, plays a pivotal role in Thailand’s sustenance and economy. This study aimed to examine the trends of climate variability and its correlation with crop yields and social and farm factors affecting farm net income in Chiang Mai province, Thailand. Time series climate data (2002–2020) on temperature and rainfall and yields were analyzed using the Mann–Kendall trend test and Sen’s slope estimation to investigate the trends and their changes. The Pearson correlation was used to assess the association between climate variability and cultivated crop yie

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Lewis, C., C. Stolte, and E. Stolte. "Dairy farm resilience in a variable environment." Journal of New Zealand Grasslands 77 (January 1, 2015): 65–70. http://dx.doi.org/10.33584/jnzg.2015.77.485.

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Clarence and Elise Stolte farm the family Masterton property as 50:50 sharemilkers. They have made the 285 ha dairy farming business resilient to environmental and milk price volatility by remaining focussed on sustainable results and not productivity. Evidenced through the Dairy Systems Monitoring (DSM) and the Dairy Farm Business of the Year competition they stand in the top 10% of elite groups for financial results in both high payout in a high pasture yield season, and then in the following low payout, low pasture yield season. Being able to demonstrate consistent results comes from a deli

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Bekele, Bewket Getachew. "Review on Yield Gap Analysis: Modeling of Achievable Yields at Farm Level." European Journal of Agriculture and Forestry Research 10, no. 2 (2022): 21–27. http://dx.doi.org/10.37745/ejafr.2013/vol9n22127.

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In the present context, ‘model’ is expressed as a computer program that can be repeatedly run several times for computing several designed mathematical or statistical expressions (equations) governing crop growth-environment relations, given appropriate input data. The experiment station yields obtained under a rainfed situation without any nutrient deficiency mostly considered as the potential yields of rainfed crops. Actual yields are obtained by recording crop yields of farmers in the region under investigation and achievable yield is between actual and potential yield. Actual yields are co

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MUGWE, JAYNE, DANIEL MUGENDI, JAMES KUNGU, and MONICAH-MUCHERU MUNA. "MAIZE YIELDS RESPONSE TO APPLICATION OF ORGANIC AND INORGANIC INPUT UNDER ON-STATION AND ON-FARM EXPERIMENTS IN CENTRAL KENYA." Experimental Agriculture 45, no. 1 (2009): 47–59. http://dx.doi.org/10.1017/s0014479708007084.

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SUMMARYThis study investigated the feasibility of using sole organics or a combination of organics with inorganic fertilizer to improve maize production in on-station and on-farm experiments in central Kenya. In the on-station experiment, combined application of Calliandra calothyrsus, Leucaena trichandra and Tithonia diversifolia at 30 kg N ha−1 plus inorganic fertilizer (30 kg N ha−1) consistently gave significantly higher maize grain yields than the recommended rate of inorganic fertilizer (60 kg N ha−1). Sole application of calliandra, leucaena and tithonia also increased maize yields more

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Berrueta Moreira, María Cecilia, Santiago Dogliotti, and Gustavo Giménez. "Analysis of yield and economical performance in greenhouse tomato in Uruguay with a systemic approach." Agrociencia Uruguay 24, Supplement theses (2020): e1565. http://dx.doi.org/10.31285/agro.24.1565.

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Knowledge about contributing factors to yield loss is essential for sustainable intensification of agriculture. However, promising ideas from crop scale research are not always successfully adopted by farmers. Further analysis are needed to understand the interactions between decision making at crop and farm level and the consequences for the performance of the farm system as a whole. This study aimed to: (1) identify strategies to reduce yield gaps in greenhouse tomato in south Uruguay; (2) analyze main factors affecting economic efficiency of tomato crop and their relation with farms’ charac

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Dabbert, Stephan, and Patrick Madden. "The transition to organic agriculture: A multi-year simulation model of a Pennsylvania farm." American Journal of Alternative Agriculture 1, no. 3 (1986): 99–107. http://dx.doi.org/10.1017/s0889189300001028.

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AbstractPrior research has shown that an established organic farm can be as profitable as a conventional farm under certain circumstances. However, organic farming systems often require a transition period before they are fully established after a changeover from conventional farming. Yields may decrease and recover only slowly during this transition period and less profitable crop rotations may be required to establish an organic system. Previous studies have ignored the income trend during the transition phase, and comparisons of organic and conventional farms have been faulted for lack of s

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Y.K. MEHTA, M.S. SHAKTAWAT, and S.M. SlNGHl. "Influence of sulphur, phosphorus and farmyard manure on yield attributes and yield of maize (Zea mays) in southern Rajasthan conditions." Indian Journal of Agronomy 50, no. 3 (2001): 203–5. http://dx.doi.org/10.59797/ija.v50i3.5106.

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A field experiment was conducted at Instructional Farm, Rajasthan College of Agricultrue, Udaipur, during the rainy (kharif) seasons of 1999 and 2000 on clay-loam soil, to study the effect of sulphur, phosphorus and farm- yard manure on yield attributes and yield of maize (Zea mays L.). Cobslplant, rowslcob, cob weight, grain weight1 cob, seed index, seed and stover yields, N, P, S and Fe uptake by seed stover and total uptake by maize in- creased significantly as a result of sulphur application. Application of 60 kg Slha significantly recorded higher seed and stover yields over 0 and 30 kg Sl

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Rozprawy doktorskie na temat "Farm yield"

Gonçalves, Júlia Alves Roque. "Yield gap explaining factors and solutions to improve yields in a maize farm in Portugal." Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21289.

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Mestrado em Engenharia Agronómica / Instituto Superior de Agronomia. Universidade de Lisboa<br>Over the decades, it has been found that agricultural intensification, that is, the increase in production per hectare, is substantially urgent and necessary, justified by the observed and expected population increase and the impossibility of agricultural expansion. One of the methods for achieving this goal is the study and investigation of yield gaps, which may be explained by unfavorable soil and climate conditions, or less adequate input management. Given the socio-economic importance of maize c

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Metcalfe, Todd Andrew. "Modeling Farm-Level Costs of the Yield Reserve Program." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/44252.

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Nonpoint Source (NPS) pollution, pollution that comes from diffuse sources that are difficult to trace back to a single point such as farm fields, is a major concern affecting America's water ways. Nationally, agriculture is the leading source of water impairment and has also been identified as the largest source of pollution affecting the Chesapeake Bay. There are proposals now for a program that would pay farmers to use 15 percent less than the extension recommended amount of fertilizer. Known as the Yield Reserve Program, or Enhanced Nutrient Management, this policy could possibly help t

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Sturge, Danial. "The energy yield impacts of wind farm design and location." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/11615/.

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It is notoriously difficult to improve the accuracy of predicting energy yield for wind farms due to the balance between computational power, time, and accuracy. This is a real world problem for wind farm developers, society, and the environment, because it leads to less than optimal energy yield from a site and may lead to some sites not being developed. This thesis addresses this problem by experimenting with the development of a new hybrid computational fluid dynamics approach to wind farm design based on combining established engineering theory. Actuator disc theory used for replicating th

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Powers, Laura A. "IMPROVING FARM MANAGEMENT DECISIONS BY ANALYZING SITE-SPECIFIC ECONOMIC DATA DEVELOPED FROM YIELD MAPS." UKnowledge, 2002. http://uknowledge.uky.edu/gradschool_theses/167.

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This thesis examines the use of precision agriculture data, specifically yield maps, for makingsite-specific economic decisions for improved farm management. The adoption of precisionagriculture on farms has allowed producers to collect a greater quantity and more specificinformation about production than ever before. With such information, site-specific decisions canbe made. Incorporating economic data with yield map data, two primary decision examples aredeveloped: defining areas of production and nonproduction and managing temporal risk spatiallyacross a field. Included with the production/

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Simpkin, Simon Piers. "The effects of breed and management on milk yield of camels in Kenya." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245729.

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Pasman, Egbert Jan. "The development of control and prediction systems for milk yield and mastitis from field data." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359436.

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Upson, Matthew A. "The carbon storage benefits of agroforestry and farm woodlands." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9298.

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Planting trees on agricultural land either as farm woodlands or agroforestry (trees integrated with farming) is one option for reducing the level of atmospheric carbon dioxide. Trees store carbon as biomass, and may increase carbon storage in the ground. A review of the literature outlined uncertainty relating to changes in carbon storage after planting trees on agricultural land. The aim of this thesis is to deter¬mine the impact of tree planting on arable and pasture land in terms of above and belowground carbon storage and thereby address these uncertainties, and assess the implications for

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Manyame, Comfort. "On farm yield and water use response of pearl millet to different management practices in Niger." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1203.

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Fleuridor, Louceline. "Soil Quality and Yield of Corn and Forage as Affected by Two Years of Consecutive Gypsum Application." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555628005137812.

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Pulido, Ruben G. "Interaction of pasture condition, concentrate supplementation and milk yield level in relation to dairy cow performance and behaviour." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311536.

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Książki na temat "Farm yield"

D, Rimon, ed. Optimal yield management. Avebury, 1988.

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Johnson, Susan Peterson. The yield. Beaver's Pond Press, 2009.

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Johnson, Susan Peterson. The yield. Beaver's Pond Press, 2009.

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Statens planteavlsforsøg (Denmark). Afdeling for arealanvendelse., ed. Yield and farm survey in two agricultural regions in Denmark, 1994. Ministry of Agriculture and Fisheries, Danish Institute of Plant and Soil Science, Dept. of Land Use, 1995.

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Fielder, Lonnie L. Measurement of price, yield, and revenue variability for Louisiana crops. Dept. of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, 1985.

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Juho, Kyntäjä, International Committee for Animal Recording, ProAgria (Firm), and European Association for Animal Production, eds. Breeding, production recording, health and the evaluation of farm animals: Proceedings of the 35th biennial Session of ICAR, Kuopio, Finland, June 6-10, 2006. Wageningen Academic Publishers, 2007.

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Garg, M. R. Balanced feeding for improving livestock productivity: Increase in milk production and nutrient use efficiency and decrease in methane emission. Edited by Makkar Harinder P. S and Food and Agriculture Organization of the United Nations. Food and Agriculture Organization of the United Nations, 2012.

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Vaidya, A. K. Yield estimation and production systems analysis of summer maize with reference to adoption and farm management issues in the Extension Command Area (1992-1993).. Lumle Regional Agricultural Research Centre, 1996.

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Office, General Accounting. Farm payments and loans: Consistency needed in USDA crop yield estimates : report to the Chairman, Subcommittee on Department Operations, Research, and Foreign Agriculture, Committee on Agriculture, House of Representatives. GAO, 1986.

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Części książek na temat "Farm yield"

Berck, Peter, Cyndi Spindell Berck, Zenebe Gebreegziabher, and Hailemariam Teklewold. "How Is Farm Income Affected When Each Farm Has To Produce Its Own Animal Feed?" In Sustainable Resource Development in the 21st Century. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24823-8_7.

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AbstractOne of the questions that Peter proposed for his memorial conference was “What happens to agricultural yields when farms are relatively autarkic and use animals? For instance, how is yield affected when each farm has to produce its own animal feed? How can this help explain why African yields are so much lower than American?”

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Adane, Dattatraya, Anand Upadhyaya, Mayank Pandey, and Yash Dhoot. "Improving Farm Yield Through Agent-Based Modelling." In ICT: Cyber Security and Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0744-7_13.

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Catucci, Antonella, Alessia Tricomi, Laura De Vendictis, Savvas Rogotis, and Nikolaos Marianos. "Farm Weather Insurance Assessment." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_19.

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AbstractThe pilot aimed to develop services supporting both the risk and the damage assessment in the agro-insurance domain. It is based on the use of remotely sensed data, integrated with meteorological data, and adopts machine learning and artificial intelligence tools. Netherlands and Greece have been selected as pilot areas . In the Netherlands, the pilot was focused on potato crops for the identification of areas with higher risk, based on the historical analysis of heavy rains. In addition, it covered automated detection of potato parcels with anomalous behaviours (damage assessment) from satellite data, meteorological parameters and soil characteristics. In Greece, the pilot worked with 7 annual crops of high economic interest to the national agricultural sector. The crops have been modelled exploiting the last 3-year NDVI measurements to identify their deviations from the normal crop health behaviour for an early identification of affected parcels in case of adverse events. The models were successfully tested on a flooding event that occurred in 2019 in the Komotini region. Even though the proposed methodologies should be tested over larger areas and compared against a larger validation dataset, the results already now demonstrate how to reduce the operating costs of damage assessors through a more precise and automatic risk assessment. Additionally, the identification of parameters that most affect the crop yield could transform the insurance industry through index-based solutions allowing to dramatically cut costs.

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Babirye, A., and A. M. Fermont. "Understanding Cassava Yield Differences at Farm Level: Lessons for Research." In Innovations as Key to the Green Revolution in Africa. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2543-2_96.

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Bock, B. R., F. J. Sikora, and G. W. Hergert. "Approach for Estimating Yield Response to Nitrogen Based on Nitrogen-Rate Requirement Parameters." In Managing Nitrogen for Groundwater Quality and Farm Profitability. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/1991.managingnitrogen.appendix1.

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Barrero, Oscar, Sofiane Ouazaa, Camilo Ignacio Jaramillo-Barrios, et al. "Rice Yield Prediction Using On-Farm Data Sets and Machine Learning." In Advances in Smart Technologies Applications and Case Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53187-4_46.

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Bouman, B. A. M., C. A. van Diepen, P. Vossen, and T. van der Wal. "Simulation and systems analysis tools for crop yield forecasting." In Applications of Systems Approaches at the Farm and Regional Levels Volume 1. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5416-1_24.

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Larscheid, G., and B. S. Blackmore. "Interactions Between Farm Managers and Information Systems with Respect to Yield Mapping." In Proceedings of the Third International Conference on Precision Agriculture. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1996.precisionagproc3.c141.

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Sadler, John, Joe Millen, Patrick Fussell, Josh Spencer, and Wilson Spencer. "Yield Mapping of On-Farm Cooperative Fields in the Southeast Coastal Plain." In Proceedings of the Fourth International Conference on Precision Agriculture. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1999.precisionagproc4.c81b.

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Smith, Hendrik J., Gerhardus Trytsman, and Andre A. Nel. "On-farm experimentation for scaling-out conservation agriculture using an innovation systems approach in the north west province, South Africa." In Conservation agriculture in Africa: climate smart agricultural development. CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0026.

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Abstract A project under the Farmer Innovation Programme (FIP) that aimed to adapt Conservation Agriculture (CA) among grain farmers in South Africa was implemented in a commercial farming area of the North West Province. The following on-farm, collaborative-managed trials produced key findings concerning: (i) plant population densities (high versus low) under CA; (ii) conventional crop systems versus CA crop systems; (iii) the testing and screening of cover crops; (iv) green fallow systems for soil restoration; and (v) livestock integration. Key results from these trials were that the yield of maize was significantly higher under high-density no-till (NT) systems compared to the normal NT systems. The yield of maize in local conventional systems was lower than the yield in NT systems tested on three farmer-managed trials. The screening trial assisted in testing and learning the suitability and the different attributes of a range of cover crops in that area. Cover crop mixtures used as a green fallow system with livestock showed that CA can facilitate the successful restoration of degraded soil.

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Streszczenia konferencji na temat "Farm yield"

Jain, Saatvik, Apoorv, Anirudh Pratap Singh, Ujjwal Sharma, Himanshu Chaudhary, and Abhishek Sharma. "Analyzing Crop Yield with Smart Farm Monitoring Systems." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064080.

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Alao, Agboola B., Olatunji M. Adeyanju, Manohar Chamana, Stephen Bayne, and Argenis Bilbao. "Investigating the Effects of Improved Structural Design on Energy Yield in a Real Solar Farm." In 2024 56th North American Power Symposium (NAPS). IEEE, 2024. http://dx.doi.org/10.1109/naps61145.2024.10741636.

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Simran, Tasnia Rafique, Sumita Tasnim, Sayeda Rahnuma Akthar, Sadita Ahmed, and Mahady Hasan. "AgroTech: Optimizing Farm Management with Data-Driven Insights and Relational Database Integration through Web Application for Enhanced Soil Analysis, Weather Projection, and Crop Yield Outcomes." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725787.

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Vissers, Michael R., Jordan D. Wheeler, Jason E. Austermann, et al. "Improving the yield of CCAT MKID arrays with post-measurement lithographic corrections." In Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XII, edited by Jonas Zmuidzinas and Jian-Rong Gao. SPIE, 2024. http://dx.doi.org/10.1117/12.3020661.

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A, Arunraja, Hareeharan E, Arocamilus A, and Dinesh Perumal S. "E-Farm Management and Yield Prediction." In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2021. http://dx.doi.org/10.1109/icirca51532.2021.9544759.

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Yule, I.J., Lawrence, H.G., and Murray, and R.I. "Yield Mapping to Improve Dairy Farm Production." In 2005 Tampa, FL July 17-20, 2005. American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.18849.

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Randal Taylor, John Fulton, Matt Darr, et al. "Using Yield Monitors to Assess On-Farm Test Plots." In 2011 Louisville, Kentucky, August 7 - August 10, 2011. American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.37280.

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TRAJER, Jędrzej, Iwona PIETRZYCKA, Ewa PIOTROWSKA, and Ewa GOLISZ. "Apple Tree Yield Analysis Using Data Mining." 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.2017.69.

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Nassar, Lobna, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam, and Prarabdha Agrawal. "Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9206998.

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Gauci, Alysa A., Alex Lindsey, Scott A. Shearer, David Barker, Elizabeth M. Hawkins, and John P. Fulton. "Scalability of Yield Monitor Data for Supporting On-Farm Research." In 2021 ASABE Annual International Virtual Meeting, July 12-16, 2021. American Society of Agricultural and Biological Engineers, 2021. http://dx.doi.org/10.13031/aim.202100444.

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Raporty organizacyjne na temat "Farm yield"

Sievers, Joshua L., and Joel L. DeJong. Northwest Iowa On-farm Research Soybean Yield Response to Headline Fungicide. Iowa State University, Digital Repository, 2012. http://dx.doi.org/10.31274/farmprogressreports-180814-952.

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Asfaw, Etenesh. “Dehqan” Farms: Uzbekistan’s Underserved 70 Percent. TOSHKENT SHAHRIDAGI XALQARO VESTMINSTER UNIVERSITETI, 2020. https://doi.org/10.70735/vzxc8585.

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Support targeted to the small Dehqan farms would increase national agricultural productivity, supporting livelihoods in rural areas. Seventy percent of Uzbekistan’s agricultural output comes from the Dehqan farms that represent 95 percent of all farms and operate only one-fifth of all farmland. Dehqan farms have unrestricted production and marketing choices, stronger tenure security, and higher crop productivity compared with large farms. Dehqan farms, however, experience global yield gaps, have difficulty entering modern markets and own little incomes. Uzbekistan’s agriculture sector needs to

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Batzer, Jean C., and Mark L. Gleason. On-farm Cooperator Trials: Effect of Extended-duration Row Covers on Muskmelon and Winter Squash on Bacterial Wilt and Yield. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/farmprogressreports-180814-873.

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Nakasone, Eduardo, Lorena Alcázar, and Máximo Torero. Provision of Public Services and Welfare of the Poor: Learning from an Incomplete Electricity Privatization Process in Rural Peru. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0011287.

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The incomplete privatization of the electric sector in Peru provides a unique scenario for evaluating the impact of public versus private provision. The results in this paper suggest that management of electricity firms by the private sector leads to a significant improvement in the quality of the provision of electricity. These improvements in quality and supply of electricity provision yield some efficiency gains in terms of the time allocation of the working labor force that can be directly linked to the use of electricity. Rural households under private provision of electricity had more op

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Saalau Rojas, Erika, Jean C. Batzer, and Mark L. Gleason. On-farm Cooperator Trials 2010: Effect of Extended-duration Row Covers on Muskmelon and Winter Squash on Bacterial Wilt and Yield. Iowa State University, Digital Repository, 2011. http://dx.doi.org/10.31274/farmprogressreports-180814-1277.

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Batzer, Jean C., Heather Kearney, and Mark L. Gleason. On-farm Cooperator Trials 2011: Effect of Extended-duration Row Covers on Muskmelon and Winter Squash on Bacterial Wilt and Yield. Iowa State University, Digital Repository, 2012. http://dx.doi.org/10.31274/farmprogressreports-180814-2568.

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Hertel, Thomas, Kym Anderson, Joseph Francois, and Will Martin. Agriculture and Non-agricultural Liberalization in the Millennium Round. GTAP Working Paper, 2000. http://dx.doi.org/10.21642/gtap.wp08.

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Much remains to be done before agricultural trade is as liberal as world trade in manufactures. But agriculture is distorted by more than agricultural policies. In developing countries especially, farming is discouraged not only by farm protection policies in high-income countries but also by those countries' own manufacturing policies and distortions to services markets. This paper explores the extent to which multilateral liberalization of not only farm but also non-farm policies would affect welfare and the markets for farm products. It projects the global economy to 2005, when the Uruguay

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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water

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Harman, Gary E., and Ilan Chet. Enhancing Crop Yield through Colonization of the Rhizosphere with Beneficial Microbes. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580684.bard.

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At the start of this project, fungi in the genus Trichoderma were known to be potent biocontrol agents, and their primary mechanism was considered to via direct effects upon the target fungi. Due in large part to the efforts of the two PIs, we now know that this view is far too limited; while Trichoderma spp. do indeed have direct effects on pathogenic fungi, they have very far reaching effects directly upon plants. Indeed, these fungi must be considered as opportunistic plant symbionts; they provide a number of benefits to plants and themselves are favored by large numbers of healthy roots. R

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ROTH, Vathana, Socheat KEO, and Sokcheng SIM. Profitability and Technical Efficiency of Chilli Farms in Cambodia. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp.144.202406.

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In this study, we examine the revenue, costs, profits and technical efficiency of chilli farms in Cambodia. We employ a representative sample of 542 chilli farming households from Banteay Meanchey, Battambang, Kampong Chhnang, Kampong Cham, Tboung Khmum and Kandal. The sample was randomly selected using a two-stage stratified sampling design, where villages were chosen in the first stage as the primary sampling unit and households engaged in chilli production were selected in the second stage as the secondary sampling units. The selection of primary sampling units was proportional to the numbe

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