Relevant bibliographies by topics / Estimation of agricultural produce

Contents

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

Academic literature on the topic 'Estimation of agricultural produce'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Estimation of agricultural produce"

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John Onuwa, Okoh, and Sunday Nwakwanogo. "Exchange Rate Volatility and Export of Agricultural Produce in Nigeria." International Journal of Development and Economic Sustainability 12, no. 2 (2024): 70–87. http://dx.doi.org/10.37745/ijdes.13/vol12n27087.

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This study examined the effect of exchange rate variation on the export of agricultural produce in Nigeria. The specific objectives of the study include; examining the effects of exchange rate variation; Trade openness; Agricultural financing; and Agricultural employment on the export of agricultural produce in Nigeria. This study adopted the VAR estimation technique in ascertaining the nexus between exchange rate variation and the export of agricultural produce in Nigeria. Data for this study were sourced from World Development Indicators, WDI, a publication of the World Bank; Central Bank of
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Singh, Dharmendra Kumar, Shivam, Vikas Kumar Singh, Vijay Kumar Singh, Manish Kumar, and Pramod Kumar Mishra. "Agricultural Water Footprint Studies for Sustainable Agricultural Water Management -A Review." International Journal of Environment and Climate Change 13, no. 9 (2023): 238–50. http://dx.doi.org/10.9734/ijecc/2023/v13i92259.

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Water footprint is defined as the amount of water consumed in production of any agricultural or industrial produce. It accounts the water consumed directly and indirectly for producing any industrial and agricultural product. Water footprint analysis helps in planning of the optimum utilization of water in any sector which subsequently leads to sustainable management of water resources. This review paper provides a review on the Water Footprint estimation methodology its merit and shortcomings, practical challenges with available data and resources for Indian context and worldwide. With increa
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Young, Linda J., and Lu Chen. "Using Small Area Estimation to Produce Official Statistics." Stats 5, no. 3 (2022): 881–97. http://dx.doi.org/10.3390/stats5030051.

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The USDA National Agricultural Statistics Service (NASS) and other federal statistical agencies have used probability-based surveys as the foundation for official statistics for over half a century. Non-survey data that can be used to improve the accuracy and precision of estimates such as administrative, remotely sensed, and retail data have become increasingly available. Both frequentist and Bayesian models are used to combine survey and non-survey data in a principled manner. NASS has recently adopted Bayesian subarea models for three of its national programs: farm labor, crop county estima
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Falchenko, Olena, and Oleksandr Volobuev. "FEATURES OF CLASSIFICATION OF PROFITS OF AGRICULTURAL ENTERPRISE." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 3 (August 26, 2021): 68–71. http://dx.doi.org/10.20998/2519-4461.2021.3.68.

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In the article the description of agricultural enterprise and features of agriculture are given. It is consist in by main and specific capital goods. The profits of agricultural enterprise as economic category are considered, which represent the optimal return of enterprises generating in sizes, necessary for coverage of him current outlays. General essence of profits of agricultural activity, confession of profit is analysed and his reliable estimation. Principles, which foresee the choice of method of estimation and reflection in the financial reporting of all profits of enterprise, and also
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Yahia, Oualid, Raffaella Guida, and Pasquale Iervolino. "Novel Weight-Based Approach for Soil Moisture Content Estimation via Synthetic Aperture Radar, Multispectral and Thermal Infrared Data Fusion." Sensors 21, no. 10 (2021): 3457. http://dx.doi.org/10.3390/s21103457.

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Though current remote sensing technologies, especially synthetic aperture radars (SARs), exhibit huge potential for soil moisture content (SMC) retrievals, such technologies also present several performance disadvantages. This study explored the merits of proposing a novel data fusion methodology (partly decision level and partly feature level) for SMC estimation. Initially, individual estimations were derived from three distinct methods: the inversion of an Empirically Adapted Integral Equation Model (EA-IEM) applied to SAR data, the Perpendicular Drought Index (PDI), and the Temperature Vege
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Gil, Antonio, and M. Beltran Siñani. "FEASIBILITY TO PRODUCING SECOND GENERATION BIOETHANOL IN BOLIVIA." Latin American Applied Research - An international journal 51, no. 1 (2020): 57–61. http://dx.doi.org/10.52292/j.laar.2021.541.

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The bioethanol that is produced worldwide is mostly obtained from agricultural crops such as sugarcane and corn. However, it has negative environmental effects, so the option of producing bioethanol from agricultural waste arises. This work evaluates the feasibility to produce second generation bietanol from oranges residues (peel and bagasse) produced in the province of Chapare, Bolivia. The estimation is carried out from the reducing sugars, determined by the DNS method, individual sugars, determined by HPLC, produced by acidic and enzymatic hydrolysis of the residues. Similarly, the amount
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Dudung, D., B. Abbas, E. A. Martanto, et al. "Estimation of greenhouse gases in rice fields and plantations in Teluk Bintuni Regency, West Papua." IOP Conference Series: Earth and Environmental Science 1192, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1755-1315/1192/1/012012.

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Abstract The study purpose was to estimate greenhouse gases produced in agricultural sector in Teluk Bintuni Regency. Data were taken from 15 farmer groups from 15 districts, and 6 families of rice farmers assisted by Tangguh LNG’ CSR. The calculation method uses IPCC 2006 Tier 2. The correction factor used in calculating Bintuni’s GHG is adjusted based on land area, soil type, type of fertilizer, and type of irrigation used. The results show that paddy farming activities by rice farmers assisted by Tangguh LNG CSR produce CH4 of 964.45 kg/year, or CO2 of 20.253,54 kg/year. Fertilization activ
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Yang, Yanqing, Zhenxin Bao, Houfa Wu, et al. "An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets." Remote Sensing 14, no. 8 (2022): 1785. http://dx.doi.org/10.3390/rs14081785.

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Modern smart agriculture initiative presents more requests for soil moisture (SM) monitoring over large agricultural areas. Remote sensing techniques facilitate high-resolution surface SM (SSM) estimation at a large scale but lack root zone SM (RZSM) information. Establishing the deduction method of RZSM from the SSM has long been the focus of most attention. Data assimilation methods are promising techniques for RZSM estimation, developing numerous assimilated reanalysis datasets, e.g., ERA5 and the latest Soil Moisture Active and Passive (SMAP) L4 SM product. However, data latency and large
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Gonzalez Cruz, Marangely, E. Annette Hernandez, and Venkatesh Uddameri. "Climatic Influences on Agricultural Drought Risks Using Semiparametric Kernel Density Estimation." Water 12, no. 10 (2020): 2813. http://dx.doi.org/10.3390/w12102813.

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A bivariate kernel density estimation (KDE) method was utilized to develop a stochastic framework to assess how agricultural droughts are related to unfavorable meteorological conditions. KDE allows direct estimation of the bivariate cumulative density function which can be used to extract the marginal distributions with minimal subjectivity. The approach provided excellent fits to bivariate relationships between the standardized soil moisture index (SSMI) computed at three- and six-month accumulations and standardized measures of precipitation (P), potential evapotranspiration (PET), and atmo
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Ogunleye, Olusogo, Akinyemi Ajibola, Oluwafemi Enilolobo, and Olufolakemi Shogunle. "Influence of road transport infrastructure on agricultural sector development in Nigeria." Logistics & Sustainable Transport 9, no. 1 (2018): 39–50. http://dx.doi.org/10.2478/jlst-2018-0004.

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AbstractThe study investigated the effects of road transport infrastructure on agricultural sector development in Nigeria from 1985 to 2014, using secondary annual time series data on agricultural development (proxy by gross domestic product in the Agric sector) road transport infrastructure (proxy by length of paved road per square kilometer of area) export and capital, all obtained from the Central Bank of Nigeria (CBN) [3], and National Bureau of Statistics (NBS) [16], statistical bulletins. The data were analyzed using Granger Causality test and Ordinary Least Square estimation techniques.
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Dissertations / Theses on the topic "Estimation of agricultural produce"

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Eriksson, Alexander. "Developing a product costing model using Process-Based Cost Modeling : A case study of early stage cost estimation in a multinational agricultural cooperative." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246009.

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Product costing can be used to estimate potential future costs and revenues associated with a product. In the development of new products early cost estimates can be used to support decision making regarding which products are worth pursuing, and which production processes that are the most profitable. For a firm to make precise early cost estimates both technical and financial expertise is needed; however, in practice there is generally a gap between technology and cost. Process-Based Cost Modeling (PBCM) is a model developed to address this gap and generate costing estimates of higher precis
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Goldammer, Teddy J. 1951. "Estimating wastewater demand by agricultural producers." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/191918.

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The demand for wastewater effluent by Avra Valley and the Cortaro-Marana Irrigation District was evaluated. This was accomplished by the use of linear programming techniques. Evaluating the potential demand for wastewater effluent is important to the development of a water market in the Tucson Active Management Area. In Avra Valley there was no quantity of wastewater effluent demanded because of high conveyance costs. The Cortaro-Marana Irrigation District the annual quantity of wastewater effluent demanded was 11,385 acre-feet based on wastewater effluent supply of 18,600 acre-feet. The quant
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Gurung, Ananda Bahadur. "Impact of Agricultural Productivity Changes on Agricultural Exports." Thesis, North Dakota State University, 2008. https://hdl.handle.net/10365/29760.

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This study uses linear programming and econometric tools to determine the impact of agricultural productivity (technology) on agricultural exports. The study determines total factor productivity (TFP) using the Malmquist index method for a panel of 64 countries. Productivity impact on exports is determined by a two-stage estimation procedure. The results show agricultural productivity affects agricultural exports. This has important implications for developing countries. A 1 unit change in cumulative TFP increases agricultural output by .79% and a 1% increase in estimated agricultural output i
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Trost, Daniel Roland. "Organic produce demand estimation utilizing retail scanner data." Thesis, Montana State University, 1999. http://etd.lib.montana.edu/etd/1999/trost/TrostD1999.pdf.

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Retail demand relationships for organic and non-organic bananas, garlic, onions, and potatoes are examined using scanner data from a retail co-operative food store located in Bozeman, Montana. A level version Rotterdam demand specification is used in a six-equation system to estimate Hicksian demand elasticities. The own-price elasticity for organic onions is negative and significant. All other own-price elasticities are not significantly different from zero. This indicates consumers may not be very price sensitive for the goods in question. With few exceptions, the cross-price elasticities wh
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Trupo, Paul. "Agricultural Cooperation and Horticultural Produce Marketing in Southwest Virginia." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36871.

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<p> Agricultural production in Southwest Virginia is characterized by numerous small, geographically disperse farms dedicated to traditional practices of producing tobacco and cattle. Community leaders have expressed the desire to diversify the region's agricultural production base to include potentially more profitable commodities such as horticultural crops. In order for the small growers to penetrate the fresh horticultural market and compete with the larger production regions, they must organize themselves into a farmer cooperative that allows them to pool resources, reduce costs, and s
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Goyette, Bernard. "Hyperbaric treatment to enhance quality attributes of fresh horticultural produce." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:8881/R/?func=dbin-jump-full&object_id=92209.

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ANAND, VIVEK. "GEOSPATIAL ANALYSIS BASED AGRICULTURAL TRADE." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18882.

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Agriculture has continued to provide a source of income for the majority of India's population, either directly or indirectly. Over time, the structure of Indian agriculture trade has changed significantly but still the methods are very traditional and no advance technologies like Geospatial Data Science or Artificial Intelligence are used for its betterment. India, which is primarily an agricultural economy, is showing signs of progress in agriculture and related businesses. Agriculture has always been regarded as a valuable tool for economic development in India, as many other major se
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Cromwell, Jeff B. "Chaotic price dynamics of agricultural commodities." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3625.

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Thesis (Ph. D.)--West Virginia University, 2004.<br>Title from document title page. Document formatted into pages; contains vi, 166 p. : ill. Includes abstract. Includes bibliographical references (p. 142-160).
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Sowe, Amadou. "The marketing of horticultural produce from micro-scale producers in the Gambia." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288680.

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Wang, Yan Chao. "EU's agricultural support policy and its revelation on China's agricultural policy." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2555588.

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Books on the topic "Estimation of agricultural produce"

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Ball, V. Eldon. Estimating supply response of multiproduct farms. U.S. Dept. of Agriculture, Economic Research Service, 1989.

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Myŏng-hwan, Kim, ред. Nongŏp pumun chŏnmang mohyŏng kuchʻuk yŏnʼgu: 2 /2-chʻa yŏndo. Hanʼguk Nongchʻon Kyŏngje Yŏnʼguwŏn, 2008.

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Myŏng-hwan, Kim, ред. Nongŏp pumun chŏnmang mohyŏng kuchʻuk yŏnʼgu: 2 /2-chʻa yŏndo. Hanʼguk Nongchʻon Kyŏngje Yŏnʼguwŏn, 2008.

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Myŏng-hwan, Kim, ред. Nongŏp pumun chŏnmang mohyŏng kuchʻuk yŏnʼgu: 2 /2-chʻa yŏndo. Hanʼguk Nongchʻon Kyŏngje Yŏnʼguwŏn, 2008.

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Myŏng-hwan, Kim, ред. Nongŏp pumun chŏnmang mohyŏng kuchʻuk yŏnʼgu: 2 /2-chʻa yŏndo. Hanʼguk Nongchʻon Kyŏngje Yŏnʼguwŏn, 2008.

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Jat, D. R. Marketing of agricultural produce. Adarsh Prakashan, 1991.

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Tanzania. Agricultural marketing policy. Ministry of Industry, Trade, and Marketing, 2008.

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Ireland. Department of Agriculture, Food and Forestry., ed. Principal exporters of agricultural produce. Department of Agriculture, Food and Forestry, 1998.

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Ireland. Department of Agriculture, Food and Forestry., ed. Principal exporters of agricultural produce. Department of Agriculture, Food and Forestry, 1995.

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Welby, Ellen M. Agricultural export transportation workbook. U.S. Dept. of Agriculture, Agricultural Marketing Service, International Transportation Branch, Transportation and Marketing Division, 1993.

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Book chapters on the topic "Estimation of agricultural produce"

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Yabe, Mitsuyasu. "Estimation of Ecological Values on Environment-Friendly Agricultural Products." In Research Series on the Chinese Dream and China’s Development Path. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7025-1_2.

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Nimalan Karthik, R., S. Manishankar, Srikar Tondapu, and A. A. Nippun Kumaar. "Detection, Depth Estimation and Locating Stem Coordinates of Agricultural Produce Using Neural Networks and Stereo Vision." In Proceedings of International Conference on Data Science and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6631-6_42.

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Stevens, Andrew W. "Estimating Agricultural Acreage Responses to Input Prices: Groundwater in California." In Sustainable Resource Development in the 21st Century. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24823-8_8.

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AbstractWater is arguably the most important input in California agriculture, and its importance has been highlighted by recent droughts. Farmers and researchers both have long been interested in the marginal value of agricultural water and its impact on production. However, due to a patchwork of legal doctrines, historic water rights, and the absence of any reliable market for agricultural water, estimates of water’s value in California agriculture have been challenging to come by (Buck et al., 2014). However, producers in California generally have the option to pump groundwater as a source o
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Moody, Jeremy, and Nick Millard. "Livestock, machinery, growing crops and produce." In Agricultural Valuations, 5th ed. Routledge, 2021. http://dx.doi.org/10.1201/9781315559162-18.

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Chaudhuri, Arijit. "Estimation with Inadequate Frames." In Agricultural Survey Methods. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470665480.ch8.

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Kalnar, Yogesh Bhaskar, and Pramod V. Mahajan. "Sensors for Fresh Produce Supply Chain." In Encyclopedia of Digital Agricultural Technologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24861-0_288.

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Sawicka, Barbara. "Post-Harvest Losses of Agricultural Produce." In Encyclopedia of the UN Sustainable Development Goals. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95675-6_40.

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Sawicka, Barbara. "Post-harvest Losses of Agricultural Produce." In Handbook of the Historiography of Biology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69626-3_40-1.

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Thakur, Deepshikha, Naleeni Ramawat, and Vineet Shyam. "Agricultural Waste Produce: Utilization and Management." In Sustainable Food Waste Management. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8967-6_13.

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Stone, Jeffry, Kenneth G. Renard, and Leonard J. Lane. "Runoff Estimation on Agricultural Fields." In Soil Erosion, Conservation, and Rehabilitation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003418177-10.

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Conference papers on the topic "Estimation of agricultural produce"

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Agarwal, Krishnav. "A novel multimodal deep learning approach to shelf life estimation of agricultural produce." In Applications of Machine Learning 2024, edited by Barath Narayanan, Michael E. Zelinski, Tarek M. Taha, Abdul A. Awwal, and Khan M. Iftekharuddin. SPIE, 2024. http://dx.doi.org/10.1117/12.3027355.

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Kolhalkar, Nilesh R., Anupama A. Pandit, Shridhar Ashok Kedar, and G. Yedukondalu. "Artificial Intelligence Algorithms for Robotic Harvesting of Agricultural Produce." In 2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET). IEEE, 2025. https://doi.org/10.1109/icaet63349.2025.10932313.

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Upadhyay, Priyanshu, Arpita Singh, Arpit Dubey, Himanshu Shukla, Ritesh Agarwal, and Kushagra Gaur. "An Effective Agricultural Produce Object Detection System: YOLOv5-Based Classification." In 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). IEEE, 2025. https://doi.org/10.1109/cictn64563.2025.10932517.

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Srivats, R., Kalyanasundaram V, G. Prethija, and Abhiram Sharma. "An Enhanced Computer Vision and Clustering Approach for Agricultural Produce Classification." In 2024 First International Conference for Women in Computing (InCoWoCo). IEEE, 2024. https://doi.org/10.1109/incowoco64194.2024.10863495.

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Sprague, Nathan, John Evans, and Michael A. Mardikes. "Corn stalk diameter estimation using deep learning." In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X, edited by Christoph Bauer and J. Alex Thomasson. SPIE, 2025. https://doi.org/10.1117/12.3053723.

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Lee, C. C., Panpan Hu, S. K. Lam, and C. Y. Li. "Capacity Estimation for Retired Electric Vehicle Batteries in Agricultural Renewable Energy Systems." In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). IEEE, 2024. https://doi.org/10.1109/indin58382.2024.10774260.

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Milewski, Robert, Sabine Chabrillat, Nikolaos L. Tsakiridis, Nikolaos Tziolas, and Thomas Schmid. "Evaluation of EnMAP Imagery for Accurate Topsoil Estimation in Mediterranean Agricultural Regions." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642254.

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Zhang, XianFeng, Rui Gong, Yang Cheng, et al. "3D Gaussian-Driven Depth Estimation for Efficient and Accurate Agricultural Produce Picking." In ICCIP 2024: 2024 the 10th International Conference on Communication and Information Processing. ACM, 2024. https://doi.org/10.1145/3708657.3708727.

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Borodin, I. F. "Electric Technology and Agricultural Products Quality Estimation." In International Off-Highway & Powerplant Congress & Exposition. SAE International, 1991. http://dx.doi.org/10.4271/911796.

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GEMECHU, Seboka Alemu. "IMF Tariff Conditionality, Aid for Trade and Trade: Evidence from Sub-Saharan Africa." In The International Conference on Economics and Social Sciences. Editura ASE, 2024. http://dx.doi.org/10.24818/icess/2024/069.

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Recently, world tariff rates based on the Most Favoured Nation have declined with more significant drops observed in Sub-Saharan Africa (SSA) particularly on agricultural products. However, the IMF conditions tied to aid for aid-receiving countries during the economic crisis are criticised for biased decision-making and their ineffectiveness in trade reform policies in relation to the Sustainable Development Goals. The purpose of this study is to investigate how IMF-tariff conditions tied to aid for trade impact agricultural product trade in SSA through Structural Adjustment Programmes (SAPs).
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Reports on the topic "Estimation of agricultural produce"

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Gillespie, Jeffrey. Estimating the USDA, Economic Research Service Commodity Costs and Returns and the Milk Cost of Production Estimates data series. U.S. Department of Agriculture, Economic Service, 2025. https://doi.org/10.32747/2025.9015824.ers.

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USDA, Economic Research Service (ERS) publishes annual costs and returns estimates for 12 major agricultural commodities (field crops, livestock, and milk) as part of the agency's Commodity Costs and Returns data series and Milk Cost of Production Estimates data series. Since 1975, commodity costs and returns estimates have been made for these commodities because legislation has mandated their estimation, the estimates help inform policy development, and/or the commodities account for a sizeable share of U.S. agricultural production. The estimates are published biannually at national and regio
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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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Cessna, Jerry, Molly DelCurto, Angel Terán, and Joseph Crouse. Documentation for the USDA, Economic Research Service, Annual U.S. Dairy Sector Econometric Model. Economic Research Service, U.S. Department of Agriculture, 2023. http://dx.doi.org/10.32747/2023.8122122.ers.

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This report provides documentation for the Annual U.S. Dairy Sector Model used by the USDA, Economic Research Service (ERS). Using econometric estimation, this dynamic model provides projections for supply, demand, and prices for U.S. milk and dairy products over a 10-year period. The model provides support for U.S. dairy projections (baseline projections) published in the USDA Agricultural Projections report each year. The model is also used to provide scenario analyses related to market conditions and various Federal Government policies.
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Azzi, Elias S., Cecilia Sundberg, Helena Söderqvist, Tom Källgren, Harald Cederlund, and Haichao Li. Guidelines for estimation of biochar durability : Background report. Department of Energy and Technology, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.lkbuavb9qc.

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Biochar is produced by heating biomass in the total or partial absence of oxygen. This report addresses the long-term persistence of biochar in soil and how this can be managed in climate calculations and reporting. The report consists of this summary and four chapters, which can be read independently. Different terms have been used to describe the durability of biochar carbon storage, but also the physical presence of biochar in soils, e.g. persistence, permanence, recalcitrance, residence times, stability. Today, the term “durability of carbon storage” is preferred in policy contexts, but va
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Finkelstain, Israel, Steven Buccola, and Ziv Bar-Shira. Pooling and Pricing Schemes for Marketing Agricultural Products. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568099.bard.

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In recent years there has been a growing concern over the performance of Israel and U.S. agricultural marketing organizations. In Israel, poor performance of some marketing institutions has led to radical reforms. Examples are the two leading export industries - citrus and flowers. In the U.S., growth of local market power is eliminating competitive row product prices which served as the basis for farmer cooperative payment plans. This research studies, theoretically, several aspects of the above problem and develops empirical methods to assess their relative importance. The theoretical part d
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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Zilberman, David, Amir Heiman, and Yanhong Jin. Use of Branding and Sampling in Agricultural Fresh Produce. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7697116.bard.

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The original proposal has three main objectives: a conceptual framework on willingness to pay (WTP) for fruits and vegetables, the introduction of branding and sampling in fresh food, and empirical applications to the United States and Israel. We modified our research plan over time based on availability of data and emergence of new problems. We expanded the range of products to include poultry and the range of techniques to use real experiments as well as more traditional surveys. We expanded the range of problems to understand attitudes toward genetically modified (GM) food. There is a growi
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Schling, Maja, Nicolás Pazos, Leonardo Corral, and Marisol Inurritegui. The Effects of Tenure Security on Women's Empowerment and Food Security: Evidence From a Land Regularization Program in Ecuador. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005355.

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This paper evaluates the impact of a rural land administration program in Ecuador on female empowerment and household food security. Using a double robust estimation that combines the difference-in-difference approach with inverse probability weighting, we explore whether receiving a georeferenced cadastral map of ones parcel provides women with increased bargaining power, empowering them to participate more actively in productive and consumption decision-making that leads to improved diversification of the production portfolio and the households food security. Although we find no significant
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Tresise, Megan, and Jonathan Wentworth. Restoring agricultural soils. Parliamentary Office of Science and Technology, 2022. http://dx.doi.org/10.58248/pn662.

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Changes to the management of agricultural soil could contribute to improving the ability of soils to produce crops, as well as to wider benefits including mitigating future climate change. This POSTnote summarises the state of England’s agricultural soils and evaluates soil stewardship opportunities. Soil indicators that could be used for monitoring in policy frameworks and incentives relating to soil restoration are explored.
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