Fruit Detection and Sorting Based on Machine Learning
Gayathri A, ADI SHANKARA INSTITUTE OF ENGINEERING TECHNOLOGY, KALADY; Aparna Menon ,ASIET, KALADY; Divya V Chandran ,ASIET, KALADY; Amitha Jiju ,ASIET,KALADY
Graphical User Interface
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.
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Paper ID: GRDCF013030
Published in: Conference : National Conference on Emerging Research Trend in Electrical and Electronics Engineering (ERTE’19)
Page(s): 138 - 143
Published in: Conference : National Conference on Emerging Research Trend in Electrical and Electronics Engineering (ERTE’19)
Page(s): 138 - 143