Real-time Selective Herbicide Applicator for Field Sugarcane

Authors

  • Somying Thainimit Electrical Engineering Department, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand.
  • Apimuk Muangkasem Electrical Engineering Department, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand.
  • Rachaporn Keinprasit Embedded System Technology Laboratory, National Electronics and Computer Technology Center, Pathum Thani 12120, Thailand.
  • Thanika Duangtanoo Embedded System Technology Laboratory, National Electronics and Computer Technology Center, Pathum Thani 12120, Thailand.
  • Rattana Tangwongkit Farm Machine Department, Faculty of Agriculture, Kasetsart University, Kamphaeng Saen Campus Nakhon Pathom 73140, Thailand.
  • Tsuyoshi Isshiki Tokyo Institute of Technology, Tokyo, Japan.

Keywords:

precision herbicide applicator, targeting herbicide, selective spraying, variable rate applicator, machine vision-based weed control system, weed density estimation

Abstract

A system for a real-time selective herbicide applicator was developed. The system worked under natural light conditions without any assistant lighting device. A fast color-based weed detection technique was developed using a non-green subtraction procedure along with a conventional offset excessive green procedure. The experimental results showed that integrating these two techniques improves the robustness and weed detection accuracy of the system. In addition, the precision of the system was enhanced by increasing the command rates of the system controller. With the higher command rate, the number of detected weed groups was increased from 84.38 to 93.75%.

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Published

2012-12-31

How to Cite

Thainimit, Somying, Apimuk Muangkasem, Rachaporn Keinprasit, Thanika Duangtanoo, Rattana Tangwongkit, and Tsuyoshi Isshiki. 2012. “Real-Time Selective Herbicide Applicator for Field Sugarcane”. Agriculture and Natural Resources 46 (6). Bangkok, Thailand:955-65. https://li01.tci-thaijo.org/index.php/anres/article/view/243014.

Issue

Vol. 46 No. 6 (2012): November-December

Section

Research Article

License

online 2452-316X print 2468-1458/Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/),
production and hosting by Kasetsart University of Research and Development Institute on behalf of Kasetsart University.