Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
نویسندگان
چکیده
منابع مشابه
Neuro-fuzzy Modeling for Crop Yield Prediction
The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS are several parameters derived from the crop growth simulation model (CGMS) including soil moisture content, above ground biomass, and storage organs biomass. In addition we use...
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• Why do we need to estimate the entire distribution? The distribution of an economic entity is of fundamental importance to decision makers, especially if they are risk averse and the underlying distribution is not Gaussian, a situation that calls for consideration of factors beyond the usual mean variance analysis. In particular the tail distribution plays a particularly crucial role in risk ...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2021
ISSN: 2045-2322
DOI: 10.1038/s41598-020-80820-1