2024
DOI: 10.3390/plants13091176
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High-Accuracy Tomato Leaf Disease Image-Text Retrieval Method Utilizing LAFANet

Jiaxin Xu,
Hongliang Zhou,
Yufan Hu
et al.

Abstract: Tomato leaf disease control in the field of smart agriculture urgently requires attention and reinforcement. This paper proposes a method called LAFANet for image-text retrieval, which integrates image and text information for joint analysis of multimodal data, helping agricultural practitioners to provide more comprehensive and in-depth diagnostic evidence to ensure the quality and yield of tomatoes. First, we focus on six common tomato leaf disease images and text descriptions, creating a Tomato Leaf Disease… Show more

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