您好,欢迎访问中国热带农业科学院 机构知识库!

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

文献类型: 外文期刊

作者: Wang, Qi 1 ; Xue, Hui 3 ; Martin, Jerome Jeyakumar John 1 ; Hou, Mingming 1 ; Cao, Hongxing 1 ; Dong, Zhiguo 1 ; Li, Jianshe 2 ; Sun, Chengxu 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Coconut Res Inst, Hainan Key Lab Trop Oil Crops Biol, Wenchang 571339, Peoples R China

2.Ningxia Univ, Sch Enol & Hort, Hort Lab, Yinchuan 750021, Peoples R China

3.Hainan Prov Forest Seed Seedling Stn, Haikou 750203, Peoples R China

4.Henan Univ, Sch Life Sci, Kaifeng 475004, Peoples R China

关键词: computed tomography (CT); non-destructive testing (NDT); precision agriculture; smart agriculture; technological challenges and countermeasures

期刊名称:AGRICULTURE-BASEL ( 影响因子:3.6; 五年影响因子:3.8 )

ISSN:

年卷期: 2024 年 14 卷 12 期

页码:

收录情况: SCI

摘要: 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.

  • 相关文献
作者其他论文 更多>>