Application of the Agricultural Robot for Weed Control

Currently, most fields in farms are sprayed with herbicides. Moreover, they affect the entire field, including food crops. Crops usually do not die from selective herbicides, but even with correctly selected types, their growth is suppressed, which negatively affects the harvest. Agriculture needs a more balanced and well-developed approach to selection of cultivated varieties, herbicides or other methods of crop protection. This is important, since new types of weeds resistant to glyphosate. Our robot is designed to pull out weeds, place them in the container so that their seeds cannot give new shoots in the fields. A high-precision manipulator for capturing weeds, machine vision are the main advantages of our robot. With the help of the convolutional neural network, our robot detects weeds and distinguishes them from agricultural plants. The aim is to highlight the advantages of using the robot in the fight against weeds. According to our results, the robot is inferior to herbicide treatments in terms of weed control effectiveness. This may be due to the low productivity of the certain robot, and insufficient accuracy of weed recognition. Nevertheless, the robot wins in terms of compliance with organic farming.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1145/3726122.3726191
Primary Topic
Agricultural Systems and Practices
Type
article
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article

Application of the Agricultural Robot for Weed Control

S. K. Seitov, Marina Li, Sanoatkhan Zakirova, Khosiyat Khujamkulova
Agricultural Systems and Practices
article

Application of the Agricultural Robot for Weed Control

S. K. Seitov, Marina Li, Sanoatkhan Zakirova, Khosiyat Khujamkulova
article en

Abstract

Currently, most fields in farms are sprayed with herbicides. Moreover, they affect the entire field, including food crops. Crops usually do not die from selective herbicides, but even with correctly selected types, their growth is suppressed, which negatively affects the harvest. Agriculture needs a more balanced and well-developed approach to selection of cultivated varieties, herbicides or other methods of crop protection. This is important, since new types of weeds resistant to glyphosate. Our robot is designed to pull out weeds, place them in the container so that their seeds cannot give new shoots in the fields. A high-precision manipulator for capturing weeds, machine vision are the main advantages of our robot. With the help of the convolutional neural network, our robot detects weeds and distinguishes them from agricultural plants. The aim is to highlight the advantages of using the robot in the fight against weeds. According to our results, the robot is inferior to herbicide treatments in terms of weed control effectiveness. This may be due to the low productivity of the certain robot, and insufficient accuracy of weed recognition. Nevertheless, the robot wins in terms of compliance with organic farming.

Lomonosov Moscow State University (RU), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Tashkent State University of Economics (UZ), University of World Economy and Diplomacy (UZ)
Zero hunger
Openalex Percentile: Top 80%
Agricultural Systems and Practices
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