Remote sensing monitoring of Lonicera japonica root rot disease based on UAV images

Tianliang Zhang; Yue Wang; Tengda Zhang; Yue Chen; Song Tang; Zhiqiang Wang

doi:10.1117/12.3026812

8 April 2024 Remote sensing monitoring of Lonicera japonica root rot disease based on UAV images

Tianliang Zhang, Yue Wang, Tengda Zhang, Yue Chen, Song Tang, Zhiqiang Wang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130903O (2024) https://doi.org/10.1117/12.3026812
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Lonicera japonica is a traditional Chinese herbal medicine, and root rot is a common systemic disease on Lonicera japonica, and the occurrence of root rot seriously affects the yield and quality of Lonicera japonica. In this paper, we study to realize the detection of root rot plants in a wide range of Lonicera japonica fields based on UAV remote sensing images to help accurately detect and treat root rot plants. A YOLOX target detection model was trained using UAV orthophotos to identify root rot disease plants and healthy plants in the field. After training and optimization, the average precision (Average Precision, AP) of the model reached 91.75% and 94.44%, respectively, which can efficiently and accurately detect root rot plants in the field for timely treatment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tianliang Zhang, Yue Wang, Tengda Zhang, Yue Chen, Song Tang, and Zhiqiang Wang "Remote sensing monitoring of Lonicera japonica root rot disease based on UAV images", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130903O (8 April 2024); https://doi.org/10.1117/12.3026812

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