Design and Implementation of an Automated Fruit Quality Classification System
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초록
Most of fruit quality classification has been done by time consuming, inaccurate and intensivemanual labor. This study proposed an automated fruit grading system based on appearances andinternal flavors. In this study, image processing technique and a weight checker were used tomeasure the value of appearance features and the near infrared spectroscopy analysis method wasused to estimate the value of internal flavors. Additionally, I suggested 8x8x5x5 ANN based fruitquality classifier model to grade fruits quality. The proposed automated fruit quality classificationsystem is expected to be very beneficial for many farms where heavy manual labor is usually neededfor fruit quality classification.
Abstract
Most of fruit quality classification has been done by time consuming, inaccurate and intensivemanual labor. This study proposed an automated fruit grading system based on appearances andinternal flavors. In this study, image processing technique and a weight checker were used tomeasure the value of appearance features and the near infrared spectroscopy analysis method wasused to estimate the value of internal flavors. Additionally, I suggested 8x8x5x5 ANN based fruitquality classifier model to grade fruits quality. The proposed automated fruit quality classificationsystem is expected to be very beneficial for many farms where heavy manual labor is usually neededfor fruit quality classification.
참고문헌 (12)
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- Han Suk Choi, "A Real-Time Smart Fruit Quality Grading System Classifying by External Appearance and Internal Flavor Factors", IEEE 2018 International Conference on Industrial Technology(ICIT), pp.321~326 (2018)