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...

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Autores principales:	Yahui Guo, Yongshuo Fu, Fanghua Hao, Xuan Zhang, Wenxiang Wu, Xiuliang Jin, Christopher Robin Bryant, J. Senthilnath
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Early mature rice Machine learning (ML) methods Multiple linear regression (MLR) Rice yield prediction Phenology Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/681319c8e6d3410cbf182d64fffda8c6
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Integrated phenology and climate in rice yields prediction using machine learning methods

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