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Application of Non-Destructive Technology in Plant Disease Detection: Review

Author

Listed:
  • Yanping Wang

    (School of Electrical and Information Engineering, Jiangsu University, Zheniiang 212013, China)

  • Jun Sun

    (School of Electrical and Information Engineering, Jiangsu University, Zheniiang 212013, China)

  • Zhaoqi Wu

    (School of Electrical and Information Engineering, Jiangsu University, Zheniiang 212013, China)

  • Yilin Jia

    (School of Electrical and Information Engineering, Jiangsu University, Zheniiang 212013, China)

  • Chunxia Dai

    (School of Electrical and Information Engineering, Jiangsu University, Zheniiang 212013, China
    Jiangsu Province and Education Ministry Co-Sponsored Synergistic Innovation Center of Modern Agricultural Equipment, Zhenjiang 212013, China)

Abstract

In recent years, research on plant disease detection has combined artificial intelligence, hyperspectral imaging, unmanned aerial vehicle remote sensing, and other technologies, promoting the transformation of pest and disease control in smart agriculture towards digitalization and artificial intelligence. This review systematically elaborates on the research status of non-destructive detection techniques used for plant disease identification and detection, mainly introducing the following two types of methods: spectral technology and imaging technology. It also elaborates, in detail, on the principles and application examples of each technology and summarizes the advantages and disadvantages of these technologies. This review clearly indicates that non-destructive detection techniques can achieve plant disease and pest detection quickly, accurately, and without damage. In the future, integrating multiple non-destructive detection technologies, developing portable detection devices, and combining more efficient data processing methods will become the core development directions of this field.

Suggested Citation

  • Yanping Wang & Jun Sun & Zhaoqi Wu & Yilin Jia & Chunxia Dai, 2025. "Application of Non-Destructive Technology in Plant Disease Detection: Review," Agriculture, MDPI, vol. 15(15), pages 1-27, August.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:15:p:1670-:d:1716006
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    References listed on IDEAS

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