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Pomegranate grading based on pH using image processing and artificial intelligence. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2020. [DOI: 10.1007/s11694-020-00554-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Khodabakhshian R, Emadi B. Application of Vis/SNIR hyperspectral imaging in ripeness classification of pear. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2018. [DOI: 10.1080/10942912.2017.1354022] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Rasool Khodabakhshian
- Department of Mechanics of Biosystem Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Bagher Emadi
- Department of Mechanics of Biosystem Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
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Mahajan S, Das A, Sardana HK. Image acquisition techniques for assessment of legume quality. Trends Food Sci Technol 2015. [DOI: 10.1016/j.tifs.2015.01.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Zhang B, Huang W, Li J, Zhao C, Fan S, Wu J, Liu C. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Food Res Int 2014. [DOI: 10.1016/j.foodres.2014.03.012] [Citation(s) in RCA: 246] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Recognizing Age at Slaughter of Cattle from Beef Samples Using GC/MS–SPME Chromatographic Method. FOOD BIOPROCESS TECH 2012. [DOI: 10.1007/s11947-012-0998-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Recent Methods and Techniques of External Grading Systems for Agricultural Crops Quality Inspection - Review. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2011. [DOI: 10.2202/1556-3758.1932] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In recent years, due to increasing necessity and the rise in agricultural production worldwide, an efficient, uncomplicated and precise classification mechanism of agricultural crops is indeed an important endeavor for high quality products. This paper reviews the recent techniques and features of external grading systems for the non-destructive operation and performance of automated quality verification systems for agricultural products. The grading systems utilize highly technical engineering designs and image processing techniques to convey information and grade the products. The most common methods and techniques involved in the grading systems external inspection stages such as color, size, shape and texture are highlighted.
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