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Integration of LLMs and VLMs in plant stress phenotyping:From trait recognition to decision support

Elshan Musazade Isack Ibrahim Mrisho Jinshan Gao Xianzhong Feng

植物表型组学（英文）2026，Vol.8Issue(1)：416-432,17.

植物表型组学（英文）2026，Vol.8Issue(1)：416-432,17.DOI:10.1016/j.plaphe.2025.100161

Integration of LLMs and VLMs in plant stress phenotyping:From trait recognition to decision support

Elshan Musazade ¹Isack Ibrahim Mrisho ²Jinshan Gao ¹Xianzhong Feng¹

作者信息

1. Key Laboratory of Soybean Molecular Design Breeding,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun,130102,PR China
2. College of Chinese Medicinal Material,Jilin Agricultural University,Changchun,130118,PR China
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摘要

关键词

Large language models/Vision-language models/Plant stress detection/Precision agriculture/Artificial intelligence in phenotyping

Key words

Large language models/Vision-language models/Plant stress detection/Precision agriculture/Artificial intelligence in phenotyping

引用本文复制引用

Elshan Musazade,Isack Ibrahim Mrisho,Jinshan Gao,Xianzhong Feng..Integration of LLMs and VLMs in plant stress phenotyping:From trait recognition to decision support[J].植物表型组学（英文）,2026,8(1):416-432,17.

基金项目

This research was supported by the Biological Breeding-National Science and Technology Major Project of China(2023ZD040360301)and the National Natural Science Foundation of China(U21A20215 and 32488102). （2023ZD040360301）

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