Classification of tomato (Lycoersicon Esculentum Miil) ripeness levels based on HSV color using digital image processing

نویسندگان

چکیده

Abstract Tomato is a fruit that undergoes rapid ripening process. Classification of tomatoes based on the level ripeness very important during distribution process in various regions. In general, farmers classify color, because this easy to do. Generally, classification done manually by looking directly with eyes and color fruit. The problem is, identifying still has many shortcomings results are less than optimal. This humans have limitations such as differences perceptions farmers, fatigue, lack focus, relatively long time required produce variety products due human visual about quality tomatoes. One alternative technology can be used reduce use digital image processing spaces hue, saturation, value (HSV). HSV tendency detect degree dominance get accurate object recognition results. Using techniques, information obtained processed computer more precise, fast automatic. Based research using space identify maturity at three levels ripeness, unripe, half-ripe ripe.

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ژورنال

عنوان ژورنال: IOP conference series

سال: 2022

ISSN: ['1757-899X', '1757-8981']

DOI: https://doi.org/10.1088/1755-1315/1116/1/012062