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Academic Journal of Computing & Information Science, 2024, 7(6); doi: 10.25236/AJCIS.2024.070602.

Intelligent pest and disease control system for traditional Chinese medicine cultivation industry


Junyi Wang1, Yinghuai Yu1, Minhua Ye2

Corresponding Author:
Yinghuai Yu

1School of Mathematics and Computer, Guangdong Ocean University, Zhanjiang, 524088, China

2College of Ocean Engineering and Energy, Guangdong Ocean University, Zhanjiang, 524088, China


Aiming at the low efficiency of traditional Chinese herbal medicine pest control technology, an intelligent system for pest control of Chinese herbal medicine was proposed. The deep learning model was deployed to an intelligent UAV to realize real-time dynamic identification of diseases and pests, and the RTK module was used to connect the software end to realize data interconnection and real-time analysis of pest identification results, and then return to intelligent planning of management routes. To create a highly automated system for pest identification and management. The average pest identification accuracy of the system model reached 96.72%, covering 328 species of pests and diseases, and the software video stream return frame rate was no less than 30 frames, effectively improving the efficiency of pest and disease management.


Chinese medicinal materials, Pests and diseases, Intelligent recognition, Prevention and cure

Cite This Paper

Junyi Wang, Yinghuai Yu, Minhua Ye. Intelligent pest and disease control system for traditional Chinese medicine cultivation industry. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 6: 7-12. https://doi.org/10.25236/AJCIS.2024.070602.


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