Predicting China’s Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms

A timely and accurately predicted grain yield can ensure regional and global food security. The scientific community is gradually advancing the prediction of regional-scale maize yield. However, the combination of various datasets while predicting the regional-scale maize yield using simple and accu...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Lijuan Miao, Yangfeng Zou, Xuefeng Cui, Giri Raj Kattel, Yi Shang, Jingwen Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	China maize yield machine learning multi-source datasets prediction
Online Access:	https://www.mdpi.com/2072-4292/16/13/2417