Prediction of Maize Yield at the City Level in China Using Multi-Source Data

Prediction of Maize Yield at the City Level in China Using Multi-Source Data

Maize is a widely grown crop in China, and the relationships between agroclimatic parameters and maize yield are complicated, hence, accurate and timely yield prediction is challenging. Here, climate, satellite data, and meteorological indices were integrated to predict maize yield at the city-level...

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Bibliographic Details
Main Authors: Xinxin Chen, Lan Feng, Rui Yao, Xiaojun Wu, Jia Sun, Wei Gong
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
maize yield
machine learning methods
climate data
vegetation index
meteorological indices
Online Access:https://www.mdpi.com/2072-4292/13/1/146

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