A machine-vision-based real-time sensor system to control weeds in agricultural fields

被引：0

作者：

Shanmugam, Maheswaran ^{[1
]}

Asokan, R. ^{[2
]}

机构：

[1] Department of ECE, Kongu Engineering College, Perundurai, 638052, Erode

[2] KonguNadu College of Engineering and Technology, Tholurpatti, 621215, Thottiyam

来源：

Sensor Letters | 2015年 / 13卷 / 06期

关键词：

Machine vision; Position estimation; Real time imaging systems; Weeds separation;

D O I：

10.1166/sl.2015.3495

中图分类号：

学科分类号：

摘要：

Agriculture remains a great source of wealth and plays a crucial role in enhancing a nation's economic stability. Technology and agriculture, once th of as two different areas, have now become integrated. Technology has greatly impacted the agricultural industry, and one advancement is the electromechanical weeder machine designed to remove weeds. The machine-vision-based (Image Processing) mechanical weeding machine, designed for turmeric fields, was tested in this environment. The digital image obtained from the vision system of the vehicle was processed using the Matlab platform and a robotic arm setup was activated with the help of a PIC microcontroller to remove the weeds from the field. The background soil and the plants were separated using ExG- ExR methodology, with zero as the threshold level to separate the field background from the plants. This ExG-ExR method of plant and background discrimination was used to differentiate the turmeric plants from the background. Copyright © 2015 American Scientific Publishers.

引用

页码：489 / 495

页数：6

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