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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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Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2020-10-01
Seri Bilgileri:Agronomy
Konular:
sorghum yield
neural network
LASSO
ENET
weather variables
yield forecasting
Online Erişim:https://www.mdpi.com/2073-4395/10/11/1645
Etiketler: Etiketle
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