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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Ramesh V, Kumaresan P
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IOP Publishing 2025-01-01
Saila:	Environmental Research Communications
Gaiak:	crop yield prediction linear regression random forest decision tree regressor AdaBoost regressor elastic Net
Sarrera elektronikoa:	https://doi.org/10.1088/2515-7620/adb9c0
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!