Abstract: The food quality is very essential to the farmer as well as the end users. The classification of food items performed manually which is less efficient, low speed, expensive and tedious work The automatic approach, based on computer vision classification, provided rapid and high throughput methods. Even though, the classification task is complex and challenging case at the varietal level. The present work proposes the classification of the cashew nut by identified its geometric features like shape, size and colour using deep neural network. The deep CNN which itself extract the features of the image for classification was the added advantage. This work proposed a framework for computer vision based grading and sorting system for cashew nut using deep neural network.

Keywords: Computer vision, Neural Network, Transfer learning, Classification

| DOI: 10.17148/IARJSET.2022.9116