Works matching DE "AGRICULTURAL forecasts"
Results: 1153
VALIDATION OF THE PHENOLOGICAL FORECAST MODEL "RIMPRO-CYDIA 3" IN THE REGION OF PLOVDIV (CENTRAL SOUTH BULGARIA).
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- Agricultural Sciences / Agrarni Nauki, 2024, v. 16, n. 43, p. 77, doi. 10.22620/agrisci.2024.43.008
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Dynamics of Annual Cone Crops of Siberian Fir (Abies sibirica Ledeb.) in Conifer Forests of Pre-Ural Region (Russia) Based on 47 Years of Observations.
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- Forests (19994907), 2025, v. 16, n. 2, p. 234, doi. 10.3390/f16020234
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Globalization and a Wal-Mart World: The Documents.
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- Connecticut History, 2006, v. 45, n. 2, p. 278, doi. 10.2307/44369742
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Transgenic Transnational Relations.
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- Peace Review, 2000, v. 12, n. 4, p. 533, doi. 10.1080/10402650020014618
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Ensemble learning for prominent feature selection and electric power prediction in agriculture sector.
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- Multimedia Tools & Applications, 2024, v. 83, n. 29, p. 72595, doi. 10.1007/s11042-024-18179-y
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Hybrid deep WaveNet-LSTM architecture for crop yield prediction.
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- Multimedia Tools & Applications, 2024, v. 83, n. 7, p. 19161, doi. 10.1007/s11042-023-16235-7
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Simultaneous selection for yield, adaptability and stability and repeatability coefficient in full-sib families of elephant grass for energy purposes via mixed models.
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- Euphytica, 2022, v. 218, n. 11, p. 1, doi. 10.1007/s10681-022-03092-y
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Dryline characteristics in North America's historical and future climates.
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- Climate Dynamics, 2021, v. 57, n. 7/8, p. 2171, doi. 10.1007/s00382-021-05800-1
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Relating model bias and prediction skill in the equatorial Atlantic.
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- Climate Dynamics, 2021, v. 56, n. 7/8, p. 2617, doi. 10.1007/s00382-020-05605-8
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On the connection between AMOC and observed land precipitation in Northern Hemisphere: a comparison of the AMOC indicators.
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- Climate Dynamics, 2021, v. 56, n. 1/2, p. 651, doi. 10.1007/s00382-020-05496-9
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A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed.
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- Climate Dynamics, 2019, v. 53, n. 12, p. 7429, doi. 10.1007/s00382-017-3794-7
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Development of an interdisciplinary, multi-method approach to seasonal climate forecast communication at the local scale.
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- Climatic Change, 2020, v. 162, n. 4, p. 2021, doi. 10.1007/s10584-020-02845-9
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Indigenous knowledge for seasonal weather and climate forecasting across East Africa.
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- Climatic Change, 2019, v. 156, n. 4, p. 509, doi. 10.1007/s10584-019-02476-9
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Vulnerability of Southern Plains agriculture to climate change.
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- Climatic Change, 2018, v. 146, n. 1/2, p. 201, doi. 10.1007/s10584-017-1965-5
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PROCENA PRINOSA GROŽĐA ANALIZOM DIGITALNE FOTOGRAFIJE ČOKOTA VINOVE LOZE.
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- Journal of Agricultural Sciences, Belgrade, 2014, v. 59, n. 2, p. 201, doi. 10.2298/JAS1402201B
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UTJECAJ ZRELOSTI I POVEZANIH UZGOJNIH POSTUPAKA NA VIRDŽINIJSKI DUHAN I. PRINOS, CIJENA I SADRŽAJ NITRATA U SOKU REBRA LISTA KAO INDIKATOR ZRELOSTI ZA BERBU.
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- Agronomy Journal / Agronomski Glasnik (0002-1954), 2018, v. 80, n. 5, p. 285
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The Impact of Agricultural Export Product on Income and Employment in the Thai Economy.
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- International Journal of Environmental & Rural Development, 2019, v. 10, n. 2, p. 91
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Soil water content forecasting by ANN and SVM hybrid architecture.
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- Environmental Monitoring & Assessment, 2008, v. 143, n. 1-3, p. 187, doi. 10.1007/s10661-007-9967-9
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Estimating the impact of environmental management on strawberry yield using publicly available agricultural data in South Korea.
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- PeerJ, 2023, p. 1, doi. 10.7717/peerj.15390
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МЕХАНІЗМ РЕАЛІЗАЦІЇ РЕГУЛЯТОРНОЇ ПОЛІТИКИ ЕКОНОМІЧНОЇ БЕЗПЕКИ В АГРАРНОМУ СЕКТОРІ УКРАЇНИ.
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- Food Industry Economics / Ekonomìka Harčovoï Promislovostì, 2021, v. 13, n. 1, p. 82
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Farmers' motivation and obstacles in the smallest available agricultural region.
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- Global Journal of Environmental Science & Management (GJESM), 2023, v. 9, n. 4, p. 967, doi. 10.22035/gjesm.2023.04.20
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Methodological bases of estimating the efficiency of organizational and economic mechanism of regulatory policy in agriculture.
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- Global Journal of Environmental Science & Management (GJESM), 2019, v. 5, p. 160, doi. 10.22034/gjesm.2019.SI.18
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The Wheat Crop.
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- Journal of Education, 1918, v. 88, n. 3, p. 83
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- Article
Estimating cage farming capacity of data-poor mariculture sectors in the Eastern Mediterranean.
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- Journal of Applied Aquaculture, 2021, v. 33, n. 2, p. 111, doi. 10.1080/10454438.2020.1721395
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AGRICULTURAL COMMODITY PRICE FORECASTING USING HYBRID MULTI-LAYER PERCEPTRON (HHOMLP).
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- Journal of the Balkan Tribological Association, 2023, v. 29, n. 3, p. 441
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蝗虫遥感监测预警研究现状与展望.
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- Journal of Remote Sensing, 2020, v. 24, n. 10, p. 1270, doi. 10.11834/jrs.20200239
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Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges.
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- Technologies (2227-7080), 2024, v. 12, n. 4, p. 43, doi. 10.3390/technologies12040043
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Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices.
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- Mathematics (2227-7390), 2024, v. 12, n. 18, p. 2952, doi. 10.3390/math12182952
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Effects of Diesel Price on Changes in Agricultural Commodity Prices in Bulgaria.
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- Mathematics (2227-7390), 2023, v. 11, n. 3, p. 559, doi. 10.3390/math11030559
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Hierarchical Bayesian Model with Inequality Constraints for US County Estimates.
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- Journal of Official Statistics (JOS), 2022, v. 38, n. 3, p. 709, doi. 10.2478/jos-2022-0032
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Farms in transition: agroecological farming giving families an edge in the face of declining agricultural productivity and climate stress in Bikita, Zimbabwe.
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- Agroecology & Sustainable Food Systems, 2022, v. 46, n. 9, p. 1386, doi. 10.1080/21683565.2022.2107596
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Reinvention of family farming markets in Brazil: the novelty of digital marketing sites and platforms in times of COVID-19.
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- Agroecology & Sustainable Food Systems, 2022, v. 46, n. 6, p. 902, doi. 10.1080/21683565.2022.2072997
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TPTC: topic-wise problems' trend clusters for smart agricultural insights extraction and forecasting of farmer's information demand.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-80488-x
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Using ARIMA and ETS models for forecasting water level changes for sustainable environmental management.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-73405-9
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The impact of the digital economy on land transfer-out decisions among Chinese farmers: evidence from CHFS micro-data.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-70605-1
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Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-68040-3
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Estimation of rice yield using multivariate analysis techniques based on meteorological parameters.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-63596-6
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Üreticilerin Tarımsal Üretim Amaçlarının Bulanık Eşli Karşılaştırma Yöntemi ile Analizi.
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- Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020, v. 10, n. 4, p. 3020, doi. 10.21597/jist.722445
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The Effects of a New Public Medicine Procurement Policy on Medicine Price in Shaanxi Province, Western China: An Interrupted Time Series Analysis.
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- Frontiers in Pharmacology, 2019, p. 1, doi. 10.3389/fphar.2019.00950
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ATroubleshooting Guide for Mechanistic Plant Pest Forecast Models.
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- Journal of Integrated Pest Management, 2017, v. 8, n. 1, p. 1, doi. 10.1093/jipm/pmw015
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Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress Conditions.
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- Animals (2076-2615), 2021, v. 11, n. 5, p. 1305, doi. 10.3390/ani11051305
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An Assessment of Snail-Farm Systems Based on Land Use and Farm Components.
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- Animals (2076-2615), 2021, v. 11, n. 2, p. 272, doi. 10.3390/ani11020272
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A Decision Support System for Economically Sustainable Sheep and Goat Farming.
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- Animals (2076-2615), 2020, v. 10, n. 12, p. 2421, doi. 10.3390/ani10122421
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Factors Influencing Family Woodland Management Action After Calling a Public Agency Forester.
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- Journal of Forestry, 2022, v. 120, n. 5, p. 513, doi. 10.1093/jofore/fvac006
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Fachausschuss „Agrarstatistiken".
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- WISTA Wirtschaft und Statistik, 2023, n. 6, p. 12
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- Article
Impact of Rural Out-Migration on Agricultural Technology Adoption of Rural Households in Southern Ethiopia.
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- Agris On-Line Papers in Economics & Informatics, 2023, v. 15, n. 1, p. 3, doi. 10.7160/aol.2023.150101
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Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series.
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- Agris On-Line Papers in Economics & Informatics, 2022, v. 14, n. 4, p. 3, doi. 10.7160/aol.2022.140401
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The Contribution of Energy Use and Production to Greenhouse Gas Emissions: Evidence from the Agriculture of European Countries.
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- Agris On-Line Papers in Economics & Informatics, 2022, v. 14, n. 3, p. 111, doi. 10.7160/aol.2022.140309
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Price Forecasting Accuracy of the OECD-FAO's Agricultural Outlook and the European Commission DG AGRI's Medium-Term Agricultural Outlook Report.
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- Agris On-Line Papers in Economics & Informatics, 2021, v. 13, n. 3, p. 77, doi. 10.7160/aol.2021.130308
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Application of Markowitz Portfolio Theory to Producing the World Major Field Crops.
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- Agris On-Line Papers in Economics & Informatics, 2020, v. 12, n. 4, p. 123, doi. 10.7160/aol.2020.120409
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