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http://dx.doi.org/10.5307/JBE.2017.42.3.199

Imaging Technologies for Nondestructive Measurement of Internal Properties of Agricultural Products: A Review  

Ahmed, Mohammed Raju (Department of Biosystems Machinery Engineering, College of Agriculture and Life Science, Chungnam National University)
Yasmin, Jannat (Department of Biosystems Machinery Engineering, College of Agriculture and Life Science, Chungnam National University)
Lee, Wang-Hee (Department of Biosystems Machinery Engineering, College of Agriculture and Life Science, Chungnam National University)
Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration)
Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, College of Agriculture and Life Science, Chungnam National University)
Publication Information
Journal of Biosystems Engineering / v.42, no.3, 2017 , pp. 199-216 More about this Journal
Abstract
Purpose: This study reviewed the major nondestructive measurement techniques used to assess internal properties of agricultural materials that significantly influence the quality, safety, and value of the products in markets. Methods: Imaging technologies are powerful nondestructive analytical tools that possess specific advantages in revealing the internal properties of products. Results: This review was exploring the application of various imaging techniques, specifically, hyperspectral imaging (HSI), magnetic resonance imaging (MRI), soft X-ray, X-ray computed tomography (XRI-CT), thermal imaging (TI), and ultrasound imaging (UI), to investigate the internal properties of agricultural commodities. Conclusions: The basic instruments used in these techniques are discussed in the initial part of the review. In the context of an investigation of the internal properties of agricultural products, including crops, fruits, vegetables, poultry, meat, fish, and seeds, various extant studies are examined to understand the potential of these imaging technologies. Future trends for these imaging techniques are also presented.
Keywords
Agricultural products; Hyperspectral imaging; Imaging technologies; Internal properties; Magnetic resonance imaging;
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