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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.4
- 발행연도
- 2020.12
- 수록면
- 753 - 767 (15page)
이용수
초록· 키워드
오류제보하기
The commercial value of strawberries is affected by various factors such as their shape, size and color. Among them, size determined by weight is one of the main factors determining the quality grade of strawberries. In this study, image technology was developed to predict the weight of strawberries using the shape characteristics of strawberry cultivars. For realtime weight measurements of strawberries in transport, an image measurement system was developed for weight prediction with a charge coupled device (CCD) color camera and a conveyor belt. A strawberry weight prediction algorithm was developed for three cultivars, Maehyang, Sulhyang, and Ssanta, using the number of pixels in the pulp portion that measured the strawberry weight. The discrimination accuracy (R2) of the weight prediction models of the Maeyang, Sulhyang and Santa cultivars was 0.9531, 0.951 and 0.9432, respectively. The discriminative accuracy (R2) and measurement error (RMSE) of the integrated weight prediction model of the three cultivars were 0.958 and 1.454 g, respectively. These results show that the 2D imaging technology considering the shape characteristics of strawberries has the potential to predict the weight of strawberries.
목차
Abstract
Introduction
Materials and Methods
Results and discussions
Conclusion
References
참고문헌 (20)
참고문헌 신청
Mohammed Raju Ahmed / 2019 / Assessment of the Morphological Structure of Watermelon and Muskmelon Seeds as Related to Viability / Journal of Biosystems Engineering 44(2):77~86
Ariza MT / 2016 / Strawberry achenes are an important source of bioactive compounds for human health / International Journal of Molecular Sciences 17:1~14
Brosnan T / 2002 / Inspection and grading of agricultural and food products by computer vision systems-A review / Computers and Electronics in Agriculture 36:193~213
Cordenunsi BR / 2005 / Effects of temperature on the chemical composition and antioxidant activity of three strawberry cultivars / Food Chemistry 91:113~121
홍석주 / 2018 / Rancidity Prediction of Soybean Oil by Using Near-Infrared Spectroscopy Techniques / Journal of Biosystems Engineering 43(3):219~228
Ariza MT / 2016 / Strawberry achenes are an important source of bioactive compounds for human health / International Journal of Molecular Sciences 17:1~14
Brosnan T / 2002 / Inspection and grading of agricultural and food products by computer vision systems-A review / Computers and Electronics in Agriculture 36:193~213
Cordenunsi BR / 2005 / Effects of temperature on the chemical composition and antioxidant activity of three strawberry cultivars / Food Chemistry 91:113~121
홍석주 / 2018 / Rancidity Prediction of Soybean Oil by Using Near-Infrared Spectroscopy Techniques / Journal of Biosystems Engineering 43(3):219~228
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