Stacked ensemble model for accurate crop yield prediction using machine learning techniques

Stacked ensemble model for accurate crop yield prediction using machine learning techniques

Predicting crop yields remains a crucial challenge in agriculture, as these forecasts influence decision-making at global, regional, and individual crop levels. Historically, such predictions have utilized diverse data sources, including agricultural, land, climatic, atmospheric, and other pertinent...

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Bibliografiska uppgifter
Huvudupphovsmän: Ramesh V, Kumaresan P
Materialtyp: Artikel
Språk:English
Publicerad: IOP Publishing 2025-01-01
Serie:Environmental Research Communications
Ämnen:
crop yield prediction
linear regression
random forest
decision tree regressor
AdaBoost regressor
elastic Net
Länkar:https://doi.org/10.1088/2515-7620/adb9c0

Internet

https://doi.org/10.1088/2515-7620/adb9c0

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