Intelligent System for Matured Coconut Identification

Abstract

Vision is the key component in Artificial Intelligence and automated robotics. Identification of Matured coconuts in the coconut tree crown is one of the main expected functionality to be executed in Real Time for Automated coconut Harvesting Machine. This functionality is executed by an Intelligent System attached with that machine.. This project deals with the design of that intelligent system using the concept of Artificial Intelligence. Thus the prediction of matured coconut in the present captured image of coconut tree crown with the previous knowledge is done by that designed Intelligent System. In order to identify the coconut in the present capture image, a computing board and Jetson Nano board is used, which compares the captured image with a dataset and identifies the various stages of the coconut. In this paper we used two high speed graphics processors and identified which one has more accuracy.