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- W4313289360 abstract "Computer vision system has been widely used in fruit inspection systems. Mango fruit processing industries employ these systems to check the quality of fruits where color, shape and size are considered as important features. The goal of the system is to identify the various types of mangoes based on shape when they are still unripe. Four popular South Indian mango cultivars are chosen - Neelam, Chelan, Mallika and Banganpalli, that share similar physical properties. Each of these are used in various food products and identifying them accurately is essential. Augmentation techniques such as flip, rotate, Hue, contrast, and saturation are applied to increase the datasets. Discriminant features such as major, axis, minor axis, solidity, and diameter are extracted. Further, these features are fed into classifiers such as SVM and KNN, those when applied achieve accuracies of 96.61 % and 98.96% respectively." @default.
- W4313289360 created "2023-01-06" @default.
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- W4313289360 date "2022-09-21" @default.
- W4313289360 modified "2023-09-28" @default.
- W4313289360 title "Mango Fruit Classification using Computer Vision System" @default.
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- W4313289360 doi "https://doi.org/10.1109/icirca54612.2022.9985773" @default.
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