Fruits Classification using Convolutional Neural Network

Automation of fruit classification is an interesting application of computer vision. Traditional fruit classification methods have often relied on manual operations based on visual ability and such methods are tedious, time consuming and inconsistent. External shape appearance is the main source for fruit classification. In recent years, computer machine vision and image processing techniques have been found increasingly useful in the fruit industry, especially for applications in quality inspection and color, size, shape sorting. Researches in this area indicate the feasibility of using machine vision systems to improve product quality while freeing people from the traditional hand sorting of fruits. This paper deals various image processing techniques used for fruit classification. Citation: Pritom Sarker, Mehenag Khatun, Forhad Ali, Nakib Aman Turzo, Julker Nine. "Fruits Classification using Convolutional Neural Network." Global Research and Development Journal For Engineering 5.8 (2020): 1 - 6.