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Development and Evaluation of a Yolo Algorithm-Based Robotic Sprayer for Real-Time Weed Detection Cover

Development and Evaluation of a Yolo Algorithm-Based Robotic Sprayer for Real-Time Weed Detection

Agricultural Engineering
Volume 30 (2026): Issue 1 (February 2026)
By: Ameer H. Al-Ahmadi,  Alaa Subr,  Stanisław Parafiniuk and  Marek Milanowski  
Open Access
|Feb 2026

Authors

Ameer H. Al-Ahmadi

ameer.alahmadi@coagri.uobaghdad.edu.iq

Department of Agricultural Machines and Equipment, College of Agricultural Engineering Sciences, University of Baghdad, Baghdad, Iraq

Alaa Subr

alaa.kamel@coagri.uobaghdad.edu.iq

Department of Agricultural Machines and Equipment, College of Agricultural Engineering Sciences, University of Baghdad, Baghdad, Iraq

Stanisław Parafiniuk

stanislaw.parafiniuk@up.edu.pl

Department of Machinery Exploitation and Management of Production Processes, University of Life Sciences in Lublin, Lublin, Poland

Marek Milanowski

marek.milanowski@up.edu.pl

Department of Food Process Engineering, University of Life Sciences in Lublin, Lublin, Poland
DOI: https://doi.org/10.2478/agriceng-2026-0001 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
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Language: English
Page range: 1 - 17
Submitted on: Aug 1, 2025
|
Accepted on: Dec 1, 2025
|
Published on: Feb 14, 2026
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
YOLO,
Robotic Sprayer,
Weed Detection,
Artificial Intelligence,
Machine Learning
Related subjects:
Business and economics,
Business management,
Industries,
Transportation, logistics, air traffic, shipping,
Engineering,
Mechanical engineering,
Production technology,
Materials sciences,
Biomaterials and natural materials,
Materials for energy

© 2026 Ameer H. Al-Ahmadi, Alaa Subr, Stanisław Parafiniuk, Marek Milanowski, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution 4.0 License.

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