Open AccessMachine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review
Author(s) -
Reza Rahmadian,
Mahendra Widyartono
Publication year - 2017
Publication title -
jieet (journal of information engineering and educational technology)
Language(s) - English
Resource type - Journals
ISSN - 2549-869X
DOI - 10.26740/jieet.v1n1.p46-54
Subject(s) - agriculture , component (thermodynamics) , robot , global positioning system , machine vision , precision agriculture , autonomous robot , computer science , productivity , artificial intelligence , mobile robot , engineering , geography , telecommunications , economic growth , economics , physics , archaeology , thermodynamics
Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.