Works matching DE "AGRICULTURAL forecasts"
Results: 1148
ECP-IEM: Enhancing seasonal crop productivity with deep integrated models.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0316682
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Relationship between solar radiation and meteorological variables in predictive models for crop yields.
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- Revista Brasileira de Engenharia Agricola e Ambiental - Agriambi, 2025, v. 29, n. 4, p. 1, doi. 10.1590/1807-1929/agriambi.v29n4e285794
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How Deep Learning Affect Price Forecasting of Agricultural Supply Chain?
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- Journal of Information Science & Engineering, 2023, v. 39, n. 4, p. 809, doi. 10.6688/JISE,202307_39(4).0007
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USDA's World Agricultural supply and demand estimates.
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- Man-Made Textiles in India, 2018, v. 46, n. 2, p. 62
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On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat.
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- Precision Agriculture, 2024, v. 25, n. 5, p. 2394, doi. 10.1007/s11119-024-10175-4
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Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages.
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- Precision Agriculture, 2023, v. 24, n. 3, p. 807, doi. 10.1007/s11119-022-09975-3
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Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation.
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- Precision Agriculture, 2023, v. 24, n. 2, p. 677, doi. 10.1007/s11119-022-09968-2
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Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat.
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- Precision Agriculture, 2021, v. 22, n. 1, p. 75, doi. 10.1007/s11119-020-09730-6
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An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning.
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- Precision Agriculture, 2019, v. 20, n. 5, p. 1015, doi. 10.1007/s11119-018-09628-4
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Automatic corn plant location and spacing measurement using laser line-scan technique.
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- Precision Agriculture, 2013, v. 14, n. 5, p. 478, doi. 10.1007/s11119-013-9311-z
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Medium‐ to long‐term forecast of reference crop evapotranspiration based on the correction of the principal control factor.
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- Irrigation & Drainage, 2022, v. 71, n. 4, p. 912, doi. 10.1002/ird.2714
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Ability of stochastic modelling to forecast crop reference evapotranspiration*.
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- Irrigation & Drainage, 2021, v. 70, n. 5, p. 1247, doi. 10.1002/ird.2598
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- Article
Benefits of Financial Credit among Smallholder Farmers.
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- International Journal of Agricultural Science, Research & Technology (IJASRT) in Extension & Education Systems, 2022, v. 12, n. 1, p. 37
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Investigating the Effectiveness of Farmers' Risk Management Strategies (Case Study: Khuzestan Province).
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- International Journal of Agricultural Science, Research & Technology (IJASRT) in Extension & Education Systems, 2023, v. 13, n. 4, p. 269
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Farmers' Access and Utilization of Mass Media Channels for Communicating Agricultural Information in Southern Ethiopia.
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- International Journal of Agricultural Science, Research & Technology (IJASRT) in Extension & Education Systems, 2022, v. 12, n. 4, p. 189
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Balıkesir ilindeki süt sığırcılığı işletmelerinin yapısal özellikleri ve sorunları.
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- Eurasian Journal of Veterinary Sciences, 2020, v. 36, n. 4, p. 277, doi. 10.15312/EurasianJVetSci.2020.309
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Projected Food-grain Production and Yield in India: An Evidence from Statewise Panel Data Investigation during 1977-2014.
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- Journal of Agricultural Sciences (Sri Lanka), 2021, v. 16, n. 1, p. 108, doi. 10.4038/jas.v16i1.9188
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PRODUCTION AND PRICE RELATIONSHIP FOR CHILLI IN BANGLADESH: AN EMPIRICAL ANALYSIS.
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- SAARC Journal of Agriculture, 2017, v. 15, n. 1, p. 85, doi. 10.3329/sja.v15i1.33153
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Sostenibilidad en un emprendimiento agrícola de Tuxpan, Ver.
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- Revista Biológico Agropecuaria Tuxpan, 2022, v. 10, n. 2, p. 247, doi. 10.47808/revistabioagro.v10i2.450
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Analysis and Forecast of Foreign Trade Indicators of Corn in Bosnia and Herzegovina.
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- Agro-Knowledge Journal / Agroznanje, 2018, v. 19, n. 4, p. 265, doi. 10.7251/AGREN1804265N
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ANALYSIS OF WELLBEING STATUS OF CONTRACT RICE FARMERS IN NIGER STATE OF NIGERIA.
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- Journal of Agriculture & Food Sciences, 2022, v. 20, n. 1, p. 179, doi. 10.4314/jafs.v20i1.14
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FORECASTING COTTON LINT EXPORTS IN NIGERIA USING THE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL.
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- Journal of Agriculture & Food Sciences, 2021, v. 19, n. 1, p. 150, doi. 10.4314/jafs.v19i1.11
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Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt.
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- Environmental Geochemistry & Health, 2022, v. 44, n. 9, p. 2987, doi. 10.1007/s10653-021-01163-y
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Evaluating ecosystem services for agricultural wetlands: a systematic review and meta-analysis.
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- Wetlands Ecology & Management, 2022, v. 30, n. 6, p. 1129, doi. 10.1007/s11273-022-09857-5
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Lottery Incentives and Resource Management: Evidence from the Agricultural Data Reporting Incentive Program (AgDRIP).
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- Environmental & Resource Economics, 2022, v. 82, n. 4, p. 847, doi. 10.1007/s10640-022-00690-1
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Estimating the Nonfatal Injury Undercount in Agriculture from 2004 to 2019.
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- Journal of Agricultural Safety & Health, 2022, v. 28, n. 3, p. 181, doi. 10.13031/jash.15039
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Vision and Radar Steering Reduces Agricultural Sprayer Operator Stress without Compromising Steering Performance.
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- Journal of Agricultural Safety & Health, 2022, v. 28, n. 3, p. 163, doi. 10.13031/jash.15060
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APPLICATION OF UNMANNED FLYING VEHICLE FOR OBTAINING DIGITAL ORTHOFOTOMAPS.
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- Journal Baltic Surveying, 2019, n. 11, p. 60, doi. 10.22616/j.balticsurveying.2019.018
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Land Pulse: Real-Time Agriculture Parameter Forecasting.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4, p. 4129
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Enhancing Crop Yield Projections through Machine Learning Models.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2, Part 2, p. 1892
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DEVELOPMENT OF STATISTICAL, ARTIFICIAL NEURAL NETWORK AND HYBRID MODELS, FORECASTING WHEAT AREA AND PRODUCTION IN PAKISTAN.
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- International Journal of Agricultural & Statistical Sciences, 2023, v. 19, n. 1, p. 151, doi. 10.59467/IJASS.2023.19.151
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THE ADMINISTRATIVE COMPETENCIES AVAILABLE TO AGRICULTURAL EXTENSION MANAGERS IN THE CENTRAL REGION PROVINCES OF IRAQ.
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- International Journal of Agricultural & Statistical Sciences, 2022, v. 18, p. 2239
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THE TECHNICAL COMPETENCIES AVAILABLE TO AGRICULTURAL EXTENSION MANAGERS IN THE CENTRAL REGION PROVINCES OF IRAQ.
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- International Journal of Agricultural & Statistical Sciences, 2022, v. 18, p. 2167
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ASSESSMENT OF THE REGIONAL DISPARITIES IN DEVELOPMENT OF AGRICULTURAL SECTOR IN UTTAR PRADESH: A STATISTICAL ANALYSIS.
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- International Journal of Agricultural & Statistical Sciences, 2020, v. 16, n. 2, p. 617
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DISCRIMINANT FUNCTION ANALYSIS FOR PRE-HARVEST FORECASTING OF RICE YIELD.
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- International Journal of Agricultural & Statistical Sciences, 2020, v. 16, p. 1075
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COVID-19: TREND ANALYSIS FOR MARKET ARRIVAL OF GREEN GRAM IN INDIA.
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- International Journal of Agricultural & Statistical Sciences, 2020, v. 16, p. 1017
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MODELLING AND FORECASTING OF ARHAR PRODUCTION IN INDIA.
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- International Journal of Agricultural & Statistical Sciences, 2018, v. 14, p. 73
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GA-ANN HYBRID MODEL FOR PREDICTION OF AREA AND CROP PRODUCTION.
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- International Journal of Agricultural & Statistical Sciences, 2018, v. 14, p. 15
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The impact of financial institutions on exchanges in the agricultural commodity supply chain: An information economics perspective.
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- Journal of Business Logistics, 2022, v. 43, n. 4, p. 499, doi. 10.1111/jbl.12313
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Forecasting crop yields through climate variables using mixed frequency data. The case of Argentine soybeans.
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- Economica (00130419), 2021, v. 67, p. 93, doi. 10.24215/18521649e022
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PERFIL DE GESTÃO DAS UNIDADES DE PRODUÇÃO, COM BASE AGROECOLÓGICAS, SITUADAS NO MUNICÍPIO DE LARANJEIRAS DO SUL - PR.
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- Revista Metropolitana de Sustentabilidade, 2020, v. 10, n. 1, p. 22
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Modelling EU agriculture's regional disparities under the national accounting system's approach. The impact of the new economic and environmental challenges.
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- Economic Research-Ekonomska Istrazivanja, 2021, v. 34, n. 1, p. 902, doi. 10.1080/1331677X.2020.1805347
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معارف وممارسات زراع البطاطس المرتبطة بالتكيف مع آثار التغيرات المناخية ببعض قري مركز كوم حمادة بمحافظة البحير.
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- Alexandria Science Exchange Journal, 2023, v. 44, n. 3, p. 485, doi. 10.21608/asejaiqjsae.2023.308367
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معارف الز ا رع بالممارسات الز ا رعية الجيدة فى محصول الذرة الشامية بمحافظة الغربية.
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- Alexandria Science Exchange Journal, 2023, v. 44, n. 2, p. 431, doi. 10.21608/asejaiqjsae.2023.305322
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تبني ز ا رع القمح لبعض التوصيات الارشادية للحد من اثار التغي ا رت المناخية ببعض قرى محافظة شمال سيناء.
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- Alexandria Science Exchange Journal, 2023, v. 44, n. 1, p. 17, doi. 10.21608/asejaiqjsae.2023.284435
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دور التمديد الزراعي في زيادة الوعي بقوانين حماية البيئة في محافظة داكاليا.
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- Alexandria Science Exchange Journal, 2022, v. 43, n. 3, p. 1017, doi. 10.21608/asejaiqjsae.2022.258522
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أنشطة المدارس الميدانية التمديد في Kafrelsheikh محافظة "من وجهة نظر أعضائها".
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- Alexandria Science Exchange Journal, 2022, v. 43, n. 3, p. 995, doi. 10.21608/asejaiqjsae.2022.257955
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أثر بعض المتغيرات االقتصادية على العمالة الزراعية في مصر .
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- Alexandria Science Exchange Journal, 2022, v. 43, n. 2, p. 725, doi. 10.21608/asejaiqjsae.2022.238261:
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محددات إدارة الممارسات الزراعية الذكية مناخيا لدى عينة من مزارعى اإلنتاج المختلط )محاصيل- ماشية( ببعض قرى محافظة الغربية.
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- Alexandria Science Exchange Journal, 2022, v. 43, n. 2, p. 675, doi. 10.21608/asejaiqjsae.2022.234049
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دراسة بعض الجوانب السلوكية المرتبطة بإنتاج وتسويق الليمون البلدي بين الزراع ببعض قرى مديرية التحرير محافظة البحيرة.
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- Alexandria Science Exchange Journal, 2021, v. 42, n. 4, p. 1845, doi. 10.21608/asejaiqjsae.2021.200386
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