Weather-Based Neural Network, Stepwise Linear and Sparse Regression Approach for <em>Rabi</em> Sorghum Yield Forecasting of Karnataka, India

Sorghum is an important dual-purpose crop of India grown for food and fodder. Prevailing weather conditions during the crop growth period determine the yield of sorghum. Hence, the crop yield forecasting models based on weather parameters will be an appropriate option for policymakers and researcher...

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Detalles Bibliográficos

Autores principales:	Shankarappa Sridhara, Nandini Ramesh, Pradeep Gopakkali, Bappa Das, Soumya D. Venkatappa, Shivaramu H. Sanjivaiah, Kamalesh Kumar Singh, Priyanka Singh, Diaa O. El-Ansary, Eman A. Mahmoud, Hosam O. Elansary
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2020-10-01
Colección:	Agronomy
Materias:	sorghum yield neural network LASSO ENET weather variables yield forecasting
Acceso en línea:	https://www.mdpi.com/2073-4395/10/11/1645
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