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From identification to prevention: a kiwi disease diagnosis system integrating vision and large language models | Synapse
March 3, 2026
From identification to prevention: a kiwi disease diagnosis system integrating vision and large language models
XL
Xiaopeng Li
Northwest A&F University
SY
Shuo Yang
Dalian Institute of Chemical Physics
SL
Shuqin Li
North China University of Technology
Key Points
The diagnosis system improves accuracy of kiwi disease identification, facilitating early intervention.
Key evidence shows a notable increase in detection rates, surpassing traditional methods.
The approach combines vision and language models for comprehensive data integration, enhancing understanding.
This highlights the potential for scalable disease management solutions in agriculture, benefiting kiwi growers.
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Cite This Study
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75b06c6e9836116a219dc
https://doi.org/https://doi.org/10.1016/j.compag.2026.111484