SOURCE-LINKED INTELLIGENCE
A Multi-Modal Generative Model for Tomato Disease Leaves Understanding
Artificial intelligence for plant disease analysis has advanced from task-specific classifiers to multi-modal models capable of jointly interpreting visual and textual information. However, practical deployment in precision agriculture remains limited because most existing approaches treat disease understanding as isolated prediction tasks, failing to capture the complementary relationships among symptom recognition, severity assessment, and question-driven diagnostic reasoning. In tomato pathology, accurate interpretation of diseased leaves requires more than label prediction; it demands inte
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T01:25:57.000Z
- arXiv · Artificial Intelligence · 2026-09-17T01:25:57.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.