Fruit Quality Evaluation in The Maturation Process of Blueberries Using Image Processing

https://doi.org/10.22146/ifnp.63897

Aryanis Mutia Zahra(1*), Tadashi Chosa(2), Seishu Tojo(3)

(1) Universitas Gadjah Mada
(2) Tokyo University of Agriculture and Technology
(3) Tokyo University of Agriculture and Technology
(*) Corresponding Author

Abstract


Blueberries' quality does not change uniformly during ripeness. Blueberries should be harvested fully ripened at the post-climacteric stage with an excellent indicator including consistent color, taste, and ease of removal from plant as excellent indicators. Therefore, the blueberries are not harvested until it has the desired blue color. The reliance on human perception on the fruit's taste and appearance might cause inconsistency and inaccurate judgment of the fruit maturation. This study aimed to develop an image processing algorithm capable of classifying blueberry maturity stages. The Bluecrop Northern highbush blueberry was harvested at five different stages of maturity based on visual grading of the fruit color (green, green-red, red, red-blue, and blue) from various fruit positions on the tree. Image processing with discriminant analysis accurately classified maturity stages at 98.3% accuracy. The image quality attributes of blueberries changed significantly at different maturity stages. Overall, most image quality attributes correlated strongly with well-performed blueberry physicochemical properties. This study showed that image processing during the blueberry maturation process could be a reliable and comprehensible method for estimating changes in color, shape, weight, and ultimately changes in specific physicochemical properties. This study also provided a practical evaluation of the maturity stages and physicochemical properties, which were predicted using image processing.


Keywords


blueberries; discriminant; image processing; maturity stages; visual evaluation

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DOI: https://doi.org/10.22146/ifnp.63897

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Indonesian Food and Nutrition Progress (print ISSN 0854-6177, online ISSN 2597-9388) is published by the Indonesian Association of Food Technologist in collaboration with Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada.

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