Development of Mobile Robot with Autonomous Mobile Robot Weeding and Weed Recognition by Using Computer Vision

This research letter describes an autonomous agricultural mobile robot for weeding operations in agricultural fields in the Almaty region of Kazakhstan. The development of such robots has the potential to revolutionize the agricultural industry by reducing the need for herbicides and manual labor. M...

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Bibliographic Details
Main Authors: Yeshmukhametov, Azamat, Dauletiya, Daniyar, Zhassuzak, Mukhtar, Buribayev, Zholdas
Format: Conference Proceeding
Language:English
Subjects:
Costs
Crops
Machine learning
Machine learning algorithms
Manuals
Mobile robots
Pesticides
Robot control
Service robots
sustainable agriculture
Weed recognition
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Summary:This research letter describes an autonomous agricultural mobile robot for weeding operations in agricultural fields in the Almaty region of Kazakhstan. The development of such robots has the potential to revolutionize the agricultural industry by reducing the need for herbicides and manual labor. Machine learning algorithms are trained to identify various types of weeds, and the robots are programmed to selectively remove them without damaging crops. The use of these robots can lead to increased efficiency, decreased costs, and improved environmental sustainability in agriculture. Moreover, this research describes the use of ML for weed recognition and precise killing by pesticides. The research paper is organized in the following order; introduction, robot design, robot control system, and weed recognition system.
ISSN:2642-3901
DOI:10.23919/ICCAS59377.2023.10317015