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A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models
In this paper, we propose a comprehensive approach for yield forecasting that combines data-driven solutions, crop simulation models, and model surrogates to support multiple user-profiles and needs when dealing with crop management decision-making.
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