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October 11, 2025Frontiers in Plant ScienceOpen Access

Cotton pest and disease diagnosis via YOLOv11-based deep learning and knowledge graphs: a real-time voice-enabled edge solution

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This innovative approach leverages deep learning and voice interaction for efficient pest management, enhancing field decision support.

The optimized YOLOv11 detector achieves 0.835 mAP at 52 FPS, ensuring real-time pest detection in fields.
A comprehensive knowledge graph includes over 3,000 triples, linking detected pests and diseases to expert knowledge.
Integrating voice feedback allows for hands-free operation, minimizing the need for expert involvement in pest management.
This solution highlights a scalable approach to intelligent pest control using advanced technology in agriculture.

Zhong et al. (2025) studied this question.

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