Fruit Detection Using Recurrent Convolutional Neural Network (RCNN)

Abstract

An accurate image based fruit detection model is crucial for agriculture task, Robotic harvesting. The features such as color similarity, shape irregularity and back ground are complex. Hence the fruit detection turns to be a difficult task. Many machine learning techniques such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve bayes, have been used for the fruit recognition system which doesn’t yield a good accuracy. This paper brings out the various techniques used in the fruit detection model and also how the deep learning techniques can be used for detecting the fruit by considering the various features of fruit.