Intelligent System for Matured Coconut Identification
Avudai Nayagam.T1, Devakumar.T2
1Avudai Nayagam.T, PG Scholar, Embedded System, National Engineering College, Kovilpatti, India.
2Devakumar.T, Assistant Professor, Electronics and Communication, National Engineering College, Kovilpatti, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 15, 2020. | Manuscript published on May 30, 2020. | PP: 56-61 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9520038620/2020©BEIESP | DOI: 10.35940/ijrte.F9520.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Mobile Net, Small Visual Geometric Group, Jetson Nano, Next Unit Computing.
Scope of the Article: Internet Computing.