Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction

Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction

Abstract Accurate scientific predicting of water requirements for protected agriculture crops is essential for informed irrigation management. The Penman-Monteith model, endorsed by the Food and Agriculture Organization of the United Nations (FAO), is currently the predominant approach for estimatin...

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Bibliographic Details
Main Authors: Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Multi-source data
Image segmentation
Machine learning
Water requirement prediction
Online Access:https://doi.org/10.1038/s41598-025-12324-9
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https://doi.org/10.1038/s41598-025-12324-9

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