[1]
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Calibration and Validation of APSIM Millet Model for Proso millet (Panicum miliaceum L.) Accessions as a Basis for Crop Diversification
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Journal of Agricultural …,
2023 |
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[2]
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A brief overview of satellite imagery for yield estimation in agroecosystem
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2022 VIII International …,
2022 |
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[3]
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Sub-Field Crop Yield and Yield Stability Analysis with Multi-Source Datasets and Advanced Crop Simulation Model
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2022 |
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[4]
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IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNING
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2022 |
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[5]
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Effect of Deficit Irrigation on Growth and Yield of Maize (Zea Mays) in Kiboko Research Station, Makueni County, Kenya
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2022 |
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[6]
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Evaluation of Aqua-Crop Model Using Onion Crop under Deficit Irrigation and Mulch in Semi-arid Nigeria
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Turkish Journal of …,
2022 |
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[7]
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Climate change impacts on maize and soybean yields in Zambia
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Agronomy Journal,
2022 |
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[8]
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Temporal monitoring of corn (Zea mays L.) yield using grami model, satellite imagery, and climate data in a semi-arid area
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Agricultural Engineering …,
2022 |
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[9]
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Spatial analysis, geospatial data and land-change models for modelling agricultural land changes
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Mapping and Forecasting Land Use,
2022 |
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[10]
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Decomposing crop model uncertainty: A systematic review
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Field Crops …,
2022 |
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[11]
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Modelling climate change impacts on maize
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CABI Reviews,
2022 |
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[12]
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Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review
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Ecological Informatics,
2022 |
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[13]
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Application and Evaluation of a Simple Crop Modelling Framework: A Case Study for Spring Barley, Winter Wheat and Winter Oilseed Rape over Ireland
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Agronomy,
2022 |
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[14]
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Training of Trainers on Enhancing Forecasting Capacities and Crop Capability Prediction Model and Tools
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2022 |
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[15]
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Irrigation modulates the effect of increasing temperatures under climate change on cotton production of drip irrigation under plastic film mulching in southern …
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Frontiers in Plant …,
2022 |
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[16]
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MATHEMATICAL MODELING AND OPTIMAL CONTROL TO BIOLOGICAL MODELS
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2022 |
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[17]
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Importance des composantes de la sécheresse sur la productivité de Theobroma cacao et moyens d'améliorer la capacité de prévision saisonnière de l'industrie
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2021 |
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[18]
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Towards crop yield estimation at a finer spatial resolution using machine learning methods over agricultural regions
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Theoretical and Applied Climatology,
2021 |
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[19]
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Modeling the Growth and Yield of Pearl Millet (Pennisetum glaucum) Crop
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2021 |
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[20]
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GYMEE: A Global Field-Scale Crop Yield and ET Mapper in Google Earth Engine Based on Landsat, Weather, and Soil Data
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2021 |
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[21]
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Challenges and opportunities in crop simulation modelling under seasonal and projected climate change scenarios for crop production in South Africa
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2021 |
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[22]
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Religious and cultural-spiritual attributions of climate-driven changes on food production: a case study from North Malaita, Solomon Islands
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2021 |
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[23]
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How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
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2021 |
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[24]
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Assimilation of Multisensor Optical and Multiorbital SAR Satellite Data in a Simplified Agrometeorological Model for Rapeseed Crops Monitoring
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IEEE Journal of …,
2021 |
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[25]
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Assessment of the AquaCrop Model under different irrigation scenarios in the North China Plain
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Agricultural Water Management,
2021 |
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[26]
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Application and evaluation of aquacrop, dssat and simple model in modelling yield water use of selected underutilised cereal crops.
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2021 |
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[27]
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Assessment of the Performance of Al-Gunied Pumping Station Based on the Float-area Method
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2021 |
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[28]
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Climate Change and Peri-Urban Household Food Security—Lessons from West Taraka, Morobe Province
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2020 |
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[29]
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A Low Energy Consumption Simulation Model for Agricultural Big Data in Cloud Environment
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2020 |
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[30]
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Evaluation of carbon stock under major land use/land cover types for developing alternative land use scenarios for reducing greenhouse gas emissions
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2020 |
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[31]
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GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales
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2020 |
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[32]
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Machine learning approaches for crop growth monitoring using multi-temporal and multi-variety remotely sensed data
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2020 |
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[33]
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Calibration and evaluation of aquacrop for groundnut (Arachis hypogaea) under water deficit conditions
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2020 |
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[34]
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RiceSAP: An Efficient Satellite-Based AquaCrop Platform for Rice Crop Monitoring and Yield Prediction on a Farm-to Regional-Scale
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2020 |
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[35]
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Exploring the potential of using remote sensing data to model agricultural systems in data-limited areas
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2020 |
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[36]
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The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art
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2020 |
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[37]
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Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art
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2020 |
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[38]
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Growth modeling to evaluate alternative cultivation strategies to enhance national microalgal biomass production
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2020 |
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[39]
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Climate Change and Peri-Urban Household Food Security—Lessons from West Taraka, Morobe Province, Papua New Guinea
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2020 |
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[40]
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The financial implications of diversifying wine grape production to include citrus in the Robertson area, Western Cape, South Africa
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2020 |
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[41]
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Water modelling approaches and opportunities to simulate spatial water variations at crop field level
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2020 |
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[42]
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Improving the Drought Risk Assessment and Preparedness for Winter Wheat Farming in Oklahoma
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2020 |
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[43]
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Agroecosystem models for delivering ecosystem services
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Thomas… - Advances in crop …,
2019 |
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[44]
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Agrometeorological analysis of the soybean potentiality in an Amazonian environment
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2019 |
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[45]
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Agrometeorological analysis of the soybean potentiality in an Amazonian environment1
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Pesquisa Agropecuaria Tropical,
2019 |
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[46]
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Análise agrometeorológica da potencialidade da soja em ambiente amazônico
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2019 |
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[47]
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The Impacts of Climate Change on Rice Production and Small Farmers' Adaptation: A Case of Guyana
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2019 |
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[48]
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ULOGA INFORMACIONIH TEHNOLOGIJA U ODRŽIVOM RAZVOJU POLJOPRIVREDE
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2019 |
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[49]
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Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns
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Agricultural Water Management,
2019 |
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[50]
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Modeling the Impacts of Conservation Agriculture with a Drip Irrigation System on the Hydrology and Water Management in Sub-Saharan Africa
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2018 |
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[51]
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Planning for the Energy Transition: Solar Photovoltaics in Arizona
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2018 |
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[52]
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Crop Productivity in Changing Climate
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Sustainable Agriculture Reviews,
2018 |
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[53]
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Experimental and Modeling Evaluation of Conservation Agriculture with Drip Irrigation for Small-Scale Agriculture in Sub-Saharan Africa
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ProQuest Dissertations Publishing,
2018 |
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[54]
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Predicting the Normalized Difference Vegetation Index (NDVI) by training a crop growth model with historical data
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Computers and Electronics in Agriculture,
2018 |
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[55]
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Using present and past climosequences to estimate soil organic carbon and related physical quality indicators under future climatic conditions
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Agriculture, Ecosystems & Environment,
2018 |
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[56]
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Estimation of Corn Yield by Assimilating SAR and Optical Time Series Into a Simplified Agro-Meteorological Model: From Diagnostic to Forecast
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2018 |
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[57]
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Computer Simulation of Cassava Growth
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Cassava,
2018 |
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[58]
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Dual use of agricultural land: Introducing 'agrivoltaics' in Phoenix Metropolitan Statistical Area, USA
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Landscape and Urban Planning,
2018 |
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[59]
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Contribution of remote sensing on crop models: a review
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Journal of Imaging,
2018 |
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[60]
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Agricultural crop growth modelling: a tool for dealing with the threat of climate change affecting food security (case study for greenhouse tomato)
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2018 |
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[61]
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CALIBRATION AND TESTING OF AQUACROP FOR GROUNDNUT (ARACHIS HYPOGAEA) AND DRY BEAN (PHASEOLUS VULGARIS)
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2018 |
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[62]
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Applications of Aqua crop Model for Improved Field Management Strategies and Climate Change Impact Assessment: A Review
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Modern Concepts & Developments in Agronomy,
2018 |
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[63]
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Temporal and spatial field management using crop growth modeling: A review
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2018 |
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[64]
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Simulating future rangeland production in central South Africa
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2018 |
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[65]
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Aplicación del DSSAT para estimar rendimientos de maíz en la Mixteca Oaxaqueña.
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2018 |
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[66]
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Moving in the right direction? The role of price subsidies in fertilizer use and maize productivity in Ghana.
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2017 |
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[67]
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Predicting regional soybean yield using crop growth simulation model
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2017 |
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[68]
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Regional corn yield prediction using Moderate Resolution Imaging Spectroradiometer (MODIS) data and crop growth model
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2017 |
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[69]
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A paradigm for rice yield prediction in Tamilnadu
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2017 |
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[70]
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Moving in the right direction? The role of price subsidies in fertilizer use and maize productivity in Ghana
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Food Security,
2017 |
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[71]
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Simulation of climate change impacts on production and phenology of durum wheat in Mediterranean environments using CERES-Wheat model
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Field Crops Research,
2017 |
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[72]
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Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review
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Scientific Research and Essays,
2017 |
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[73]
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작물 생육 모델을 이용한 지역단위 콩 수량 예측
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2017 |
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[74]
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Evaluación del cambio de necesidades hídricas en cítricos y kaki en la comarca de la Ribera (Valencia) por efecto del cambio climático.
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2017 |
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[75]
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Contribution à l'ajustement du phyllotherme utilisé dans les modèles de croissance du blé et de l'orge
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2017 |
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[76]
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CONCEPT OF CROP GROWTH SIMULATION MODEL
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2016 |
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[77]
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Exploring agricultural production systems and their fundamental components with system dynamics modelling
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Ecological Modelling,
2016 |
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[78]
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Models for estimating yield of Italian ryegrass in south areas of Korean peninsula and Jeju Island
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Journal of the Korean …,
2016 |
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[79]
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Phasic development model using thermal indices for rice (Oryza sativa L.) in the central zone of Kerala
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2016 |
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[80]
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Calibration and Multiple-Parameter Optimization of the Hybrid-Maize Model for Improve Simulation of Soil Moisture and Grain Yield in Farmer's Fields
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