Fruit Detection and Sorting Based on Machine Learning

Agriculture is main occupation of Indian people. In agriculture field, the difficulty of detection and counting the number of on trees fruits plays a crucial role in fruit orchids. Manually counting of fruits has been carried out but it takes lot of time and requires more labor. The purpose of the system is to minimize the number of human computer interactions, speed up the identification process and improve the usability of the graphical user interface compared to existing manual systems. The hardware of the system is constituted by a Raspberry Pi, camera. This system includes preprocessing of images, extraction of features and classification of fruit using machine-learning algorithms. This paper presents computer vision and machine learning techniques for on tree fruit detection, counting and sorting. Citation: Gayathri A, Aparna Menon, Divya V Chandran, Amitha Jiju. "Fruit Detection and Sorting Based on Machine Learning." Global Research and Development Journal For Engineering [ERTEE' 19], Adishankara Institute of Engineering and Technology, kalady, Kerala KTU(Kerala Technological University), (March 2019) : pp. 138 - 143.