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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	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
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2020-10-01
Цуврал:	Agronomy
Нөхцлүүд:	sorghum yield neural network LASSO ENET weather variables yield forecasting
Онлайн хандалт:	https://www.mdpi.com/2073-4395/10/11/1645
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!