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    Design and application of an automatic monitoring system for Lasioderma serricorne (Fabricius) based on image processing
    HU Yi-chao, SU Zan, CHEN Yi-chang, ZHANG Yan, SU Chen-yang, LIU Yong
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (4): 163-167.   DOI: 10.14088/j.cnki.issn0439-8114.2024.04.030
    Abstract225)      PDF (5002KB)(98)       Save
    Based on the demand for automatic monitoring of Lasioderma serricorne (Fabricius) in tobacco storage and cigarette production workshops, combined with the actual image characteristics of Lasioderma serricorne (Fabricius), a Lasioderma serricorne (Fabricius) automatic monitoring system based on image processing was designed by overlaying segmentation image algorithms on the basis of labeled watershed algorithms. Fully automatic photography equipment was used to collect images of the corresponding traps at regular intervals, the images were transmitted to the server via wired network, and functions such as image recognition and counting, real-time display, over limit alarm, and historical curve viewing were completed on the server end. Many interference factors such as insect board smoke, insect body overlap, and light during the actual monitoring process of Lasioderma serricorne (Fabricius) were solved, and precise automatic image recognition and counting functions for Lasioderma serricorne (Fabricius) were implemented. Practical applications had shown that the system worked stably, with an average counting accuracy greater than 94.00%, and had good application prospects in tobacco pest monitoring in cigarette production workshops.
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    Construction of influencing factors and indicator models for regional agricultural drought resistance and disaster reduction capacity
    ZHAI Xiao-yan
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (4): 174-178.   DOI: 10.14088/j.cnki.issn0439-8114.2024.04.032
    Abstract214)      PDF (4223KB)(94)       Save
    In order to prevent and control regional agricultural disasters, the influencing factors of drought were analyzed in Shandong Province. A drought warning model was constructed based on the influencing factors of drought, and the coupling relationship of various factors was analyzed. Finally, the constructed agricultural drought comprehensive evaluation model was applied to specific agricultural production environments. The results indicated that there were significant differences in drought resistance and disaster reduction capacity among different agricultural regions. The top three cities in the comprehensive assessment of agricultural drought were Yantai, Rizhao, and Qingdao, with comprehensive assessment values of 2.90, 2.87, and 2.86, respectively. The economically developed regions of Shandong Province were concentrated in coastal areas, which had sufficient technological, material, talent, and financial support, and strong agricultural drought resistance and disaster reduction capacity. For areas with poor rainfall and weak economy, agricultural drought resistance and disaster reduction capacity were relatively poor, concentrated in areas such as Dezhou City, Jining City, and Dongying City. It could be seen that in order to enhance the drought resistance and disaster reduction capabilities of these regions, it was necessary to start from financial investment, agricultural technology, emergency management, and other aspects to ensure the scientific development of regional agriculture.
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