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Trends and Applications of Computed Tomography in Agricultural Non-Destructive Testing

Author

Listed:
  • Qi Wang

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
    Horticulture Laboratory, School of Enology and Horticulture, Ningxia University, Yinchuan 750021, China
    These authors contributed equally to this work.)

  • Hui Xue

    (Hainan Provincial Forest Seed (Seedling) Station, Haikou 750203, China
    These authors contributed equally to this work.)

  • Jerome Jeyakumar John Martin

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China)

  • Mingming Hou

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
    School of Life Sciences, Henan University, Kaifeng 475004, China)

  • Hongxing Cao

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China)

  • Zhiguo Dong

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China)

  • Jianshe Li

    (Horticulture Laboratory, School of Enology and Horticulture, Ningxia University, Yinchuan 750021, China)

  • Chengxu Sun

    (Hainan Key Laboratory of Tropical Oil Crops Biology, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China)

Abstract

With the continuous progress of technology, computed tomography (CT) technology has expanded from medicine to agriculture and other industries. With the advantages of non-destructiveness, high resolution, and high precision, CT technology shows great application potential in the agricultural field. However, there are still some problems with this technology that need to be solved. This paper aims to show the application of CT technology in the agricultural field, find technical challenges, and put forward specific countermeasures, so that CT technology can be better applied in the agricultural field. This paper summarizes the application of CT technology in the quality detection of agricultural products, disease and insect pest identification, seed screening, soil analysis, and precision agriculture management, and focuses on the current challenges and the countermeasures, and looks into the role of this technology in promoting agricultural development in the future. Despite various challenges, CT technology has far more advantages than disadvantages, and it is expected to become an indispensable part of all the links of agricultural production and promote the development of precision agriculture and smart agriculture.

Suggested Citation

  • Qi Wang & Hui Xue & Jerome Jeyakumar John Martin & Mingming Hou & Hongxing Cao & Zhiguo Dong & Jianshe Li & Chengxu Sun, 2024. "Trends and Applications of Computed Tomography in Agricultural Non-Destructive Testing," Agriculture, MDPI, vol. 14(12), pages 1-23, December.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:12:p:2329-:d:1547514
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