A COMPARATIVE STUDY OF VARIOUS OBJECT DETECTION AND FEATURE EXTRACTION ALGORITHMS

Abstract

Agriculture is the most important sector in the Indian economy's development. In today's agriculture, there is a high demand to transition from tedious time-consuming manual harvesting to a fully automated operation. The combination of both autonomous harvesting and segregation of tomato fruit and three different phases or conditions of tomato is classified in this study. This project uses an image processing technique to classify the tomato's condition using a sample OpenCV tool. A Raspberry Pi camera is used to capture video continuously and this R-pi converts real time input video into frame, then object detection and image processing algorithm is performed on those image frame to detect shape of tomato, color filter is applied on tomato image to detect color of tomato. This paper suggests various important approaches for image processing and also suggests the most popular and widely used algorithms for object detection.