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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Bibliografische gegevens

Hoofdauteurs:	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
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2020-10-01
Reeks:	Agronomy
Onderwerpen:	sorghum yield neural network LASSO ENET weather variables yield forecasting
Online toegang:	https://www.mdpi.com/2073-4395/10/11/1645
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