Sensitivity analysis of wheat yield based on growing degree days in different growth stages: Application of machine learning approach enhanced by grey systems theory.

Comput. Electron. Agric.(2023)

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摘要
•The wheat yield sensitivity to different stages of growth and various variables has been investigated.•Growing degree days (GDD) and crop coefficient (Kc) were introduced as crop-specific variables.•The mid-season stage was identified as the best time window.•By using the proposed approach, wheat yield can be achieved before the harvest season.
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关键词
Artificial Neural Network,Crop yield,Growing Degree Days,Least Squares Support Vector Regression,Neuro-Fuzzy
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