Development of Computer Vision System to Determine Maturity, Weight, and Shape of Tai-Farm No. 2 Papaya (Carica papaya L.)
碩士 === 國立屏東科技大學 === 熱帶農業暨國際合作系 === 103 === Papaya (Carica papaya L.) is commonly graded by the maturity, weight and shape. Computer vision system has proven to be successful for objective measurement of various fruit crops. There were 60 papayas from one cultivar and 1,680 data points collected to b...
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| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/66767415043872566606 |
| Summary: | 碩士 === 國立屏東科技大學 === 熱帶農業暨國際合作系 === 103 === Papaya (Carica papaya L.) is commonly graded by the maturity, weight and shape. Computer vision system has proven to be successful for objective measurement of various fruit crops. There were 60 papayas from one cultivar and 1,680 data points collected to be analyzed from visually classified fruits at harvest in seven ripening stages according to the Taiwan’s standard. The image processing has been used to determine color and extract shape features and assess the quality of papaya. MATLAB programming was used to extract the color and shape features by expressing colors in CIE L*a*b* color space, which are mathematically combined to calculate color index and extracting shape descriptors to determine weight and shape. The relationship between color index and total soluble solid (TSS) were determined. Determination of weight was estimated by spatial geometry analysis of ellipsoid volume estimation. The results showed that color index and TSS had a strong relationship with R2 of 0.97 within sigmoid function regression, while the weight estimation was highly determined with R2 of 0.971 (linier regression) and determination of papaya shape determined by shape index and elongation.
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