Incorporating climate data with machine learning can improve rice phenology estimation

Incorporating climate data with machine learning can improve rice phenology estimation

Crop phenology provides essential information for crop management and production. Satellite-based methods are commonly used for phenology estimation but still struggle to capture interannual variations of phenological events. The importance of climate variation in crop phenology has been well acknow...

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Bibliographic Details
Main Authors: Yiqing Liu, Weihang Liu, Tao Ye, Shuo Chen, Xuehong Chen, Zitong Li, Ning Zhan, Ran Sun
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Letters
Subjects:
rice phenology estimation
climate data
satellite data
machine learning
hybrid model
Online Access:https://doi.org/10.1088/1748-9326/ada56e
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