Survey on Fruit Classification Using Deep Learning Techniques

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Fruit classification is one of the important tasks in both agricultural and industrial fields. A fruit classification model can help a farmer in classifying his products according to size, shape, or even weight. Artificial intelligence is growing day by day and proper machine learning models are being developed for fruit classifications. Due to the ability of automatic robust feature extraction from images, deep Learning (DL) has variety of applications. Hence, the use of Deep Learning (DL) techniques specially CNN based architectures with the ability to perform object identification based on multiple features like color, shape, and object have gained attention for fruit classification. In this paper, we have studied some of the initial fruit classification models and deep learning models that are currently used in agricultural and industrial applications.