Abstract
Fruit size is one of the most important criteria for classification and grading of mangoes. Currently, the size of a mango is determined by weight. In this project, a new model for classifying mango size using RGB color sensor and fuzzy logic are designed as an alternative automated grading of fruit size based on weight. RGB color sensor was used to measure the dimensions of mango such as major length, width and height in terms of reference color intensity value. Then, the fuzzy logic was used to classify mango size into small, medium, and large size. The proposed model is able to distinguish the three different classes of mango size automatically with more than 85 % accuracy.
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Acknowledgments
The authors would like to thank Ministry of Education Malaysia on the financial support and MARA University of Technology, Malaysia on the research infrastructure. The authors would like to express appreciation to Mdm Noor Rasidah Ali and Miss Suraiya for helping us with data collection and analysis.
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Mansor, A.R., Othman, M., Abu Bakar, M.N., Ahmad, K.A., Razak, T.R. (2016). Mango Size Classification Using RGB Color Sensor and Fuzzy Logic Technique. In: Yacob, N., Mohamed, M., Megat Hanafiah, M. (eds) Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014). Springer, Singapore. https://doi.org/10.1007/978-981-10-0534-3_27
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DOI: https://doi.org/10.1007/978-981-10-0534-3_27
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Online ISBN: 978-981-10-0534-3
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