Volume 11 - Volume 11
Machine Vision and Machine Learning based Fruit Quality Monitoring
Abstract
The efficiency of the logistics of agricultural food needs to assure that its products are safe and of
quality. This would earn the trust of consumers. To provide smart farming and packing solutions,
the proposed work is an intelligent system using machine learning and image processing on Apple
quality detection. The Apple image dataset was used with two stages of fruit, one is healthy and
another one is damaged. The machine learning model is trained with this dataset to identify the fruit
quality. The proposed technique uses feature extraction using image processing technique and SVM
algorithm is applied to train and detect the quality of fruit.
Paper Details
PaperID: 1717
Author's Name: C.S. Anita, P. Nagarajan, E. Lakshminarayanan, M. Naveen Sankar and V.R. Rishikanth
Volume: Volume 11
Issues: Volume 11
Keywords: SVM, Machine Learning, Classification, Image Processing.
Year: 2021
Month: April
Pages: 836-842