Development of software to determine the maturity level of plum using image processing techniques
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Date
2017
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Punjab Agricultural University, Ludhiana
Abstract
Maturity is the key factor which determines the storage life and ripening quality of fruits. In order to provide marketing flexibility and to ensure the acceptable eating quality to the buyer it is very crucial to determine the right maturity stage. Maturity indices are also important for trade regulation, marketing strategy and for efficient use of labor and resources. The proposed system is based on the implementation of image processing techniques using digital images of different maturity stages of the plum. The external quality features like color, texture and size have been analyzed with MATLAB Image Processing Toolbox. Color feature has been extracted by using mean RGB values. Entropy, Local Binary Pattern and Discrete Cosine transformation have been used for extracting textural features. Correlation coefficients between images of various categories were recorded to determine the most dominant factor for classification. Multi Attribute Decision Making theory has been used for taking final decision. The developed system accurately determines the maturity level. Results indicated that color is the most dominant factor for classifying the plums according to maturity level. When the length and width computed from application were compared with the manual readings, the error percentage was less than 2.4%.
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