A vision-language model for predicting potential distribution land of soybean double cropping

A vision-language model for predicting potential distribution land of soybean double cropping

IntroductionAccurately predicting suitable areas for double-cropped soybeans under changing climatic conditions is critical for ensuring food security anc optimizing land use. Traditional methods, relying on single-modal approaches such as remote sensing imagery or climate data in isolation, often f...

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Bibliographic Details
Main Authors: Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Environmental Science
Subjects:
AgriCLIP
remote sensing
vision-language model
climate change
double-cropped soybeans
predicting distribution areas
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1515752/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2024.1515752/full

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