Corn Seed Quality Detection Based on Spectroscopy and Its Imaging Technology: A Review

Jun Zhang (), Limin Dai, Zhiwen Huang, Caidie Gong, Junjie Chen, Jiashuo Xie and Maozhen Qu
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Jun Zhang: School of Mechanical and Electrical Engineering, Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Limin Dai: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Zhiwen Huang: School of Mechanical and Electrical Engineering, Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Caidie Gong: School of Mechanical and Electrical Engineering, Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Junjie Chen: School of Mechanical and Electrical Engineering, Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Jiashuo Xie: School of Mechanical and Electrical Engineering, Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Maozhen Qu: College of Biosystems Engineering and Food Science, Zhejiang University, 886 Yuhangtang Road, Hangzhou 310058, China

Agriculture, 2025, vol. 15, issue 4, 1-30

Abstract: The quality assurance of corn seeds is of utmost significance in all stages of production, storage, circulation, and breeding. However, the traditional detection method has some disadvantages, such as high labor intensity, strong subjectivity, low efficiency, cumbersome operation, etc. In view of this, it is of great significance to study more advanced detection methods. In this paper, the application of near-infrared spectroscopy and its imaging technology in the quality detection of corn seeds was reviewed. Firstly, the principles of these two technologies were introduced, and their components, data acquisition, and processing methods, as well as portability, were compared and discussed. Then, the application of these methods to the main quality of corn seeds (including variety and purity, vigor, internal components, mycotoxins, and other qualities such as frost damage, hardness, and maturity, etc.) was reviewed. Breakthroughs and innovations have been made in detection methods, spectral preprocessing methods and recognition algorithms. The significance of corn quality characteristics and the function of the applied algorithm were emphasized. Finally, the challenges and future research direction of spectral and its imaging technology was proposed, aiming to further enhance the accuracy, reliability, and practicability of the detection technology. With the rapid development of spectral and its imaging technology, the detection methods of corn quality are also advancing with the times. This is not just for corn, but more and more crops can be accurately detected by these technologies. It will become an important means of agricultural production inspection in the future.

Keywords: corn seed; near-infrared spectroscopy; hyperspectral imaging; quality detection (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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