Integrated phenology and climate in rice yields prediction using machine learning methods

Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with the growth of the global population. Precisely predicting rice yields are of vital importance to ensure the food security in countries like China, where rice accounts for one-fifth of the total agricultura...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yahui Guo, Yongshuo Fu, Fanghua Hao, Xuan Zhang, Wenxiang Wu, Xiuliang Jin, Christopher Robin Bryant, J. Senthilnath
Format:	article
Language:	EN
Published:	Elsevier 2021
Subjects:	Early mature rice Machine learning (ML) methods Multiple linear regression (MLR) Rice yield prediction Phenology Ecology QH540-549.5
Online Access:	https://doaj.org/article/681319c8e6d3410cbf182d64fffda8c6
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Integrated phenology and climate in rice yields prediction using machine learning methods

Similar Items