Prediction of Spatial Winter Wheat Yield by Combining Multiscale Time Series of Vegetation and Meteorological Indices

Prediction of Spatial Winter Wheat Yield by Combining Multiscale Time Series of Vegetation and Meteorological Indices

In the context of climate change and the development of sustainable agricultural, crop yield prediction is key to ensuring food security. In this study, long-term vegetation and meteorological indices were obtained from the MOD09A1 product and daily weather data. Three types of time series data were...

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Bibliographic Details
Main Authors: Hao Xu, Hongfei Yin, Jia Liu, Lei Wang, Wenjie Feng, Hualu Song, Yangyang Fan, Kangkang Qi, Zhichao Liang, WenJie Li, Xiaohu Zhang, Rongjuan Zhang, Shuai Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agronomy
Subjects:
crop yield
phenology
random forest
long short-term memory
Online Access:https://www.mdpi.com/2073-4395/15/5/1114
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