Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)

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Artificial Intelligence-based Autonomous Pesticide Spraying Drone Management for Sustainable Agriculture

Authors
A. Krithik Raj1, M. Arulkumar1, *, S. Saravanan1, V. Muthukumar2
1Department of Mechanical Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu, India
2Department of Mechanical Engineering, Saveetha Engineering College, Thandalam, Tamil Nadu, India
*Corresponding author. Email: arulkumar@svce.ac.in
Corresponding Author
M. Arulkumar
Available Online 17 March 2025.
DOI
10.2991/978-94-6463-662-8_84How to use a DOI?
Keywords
Precision agriculture; Pest Management; Drone technology; Artificial intelligence; Environmental impact; Autonomous system
Abstract

Precision agriculture has greatly progressed by increasing crop output in recent years. Unfortunately, diseases caused by pests and insects often lead to big losses in fields, reducing crop yield. To fix this, fertilizers and pesticides improve crops and control insects and pests. People are worried about the harmful impact of pests on human health, food security, and the environment. Drones operated by people are being used more and more to spray pesticides, reducing the health risks of doing it by hand. The drone uses advanced path planning and GPS to move through complicated areas, covering big areas and treating infested regions well. A cloud-based system for control, monitoring, and data analysis gives useful information through data analysis, letting people follow pest population changes, find repeating patterns, and use good pest control methods. The autonomous pest control drone fixes the problems with traditional pest control methods.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
Series
Advances in Engineering Research
Publication Date
17 March 2025
ISBN
978-94-6463-662-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-662-8_84How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Krithik Raj
AU  - M. Arulkumar
AU  - S. Saravanan
AU  - V. Muthukumar
PY  - 2025
DA  - 2025/03/17
TI  - Artificial Intelligence-based Autonomous Pesticide Spraying Drone Management for Sustainable Agriculture
BT  - Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
PB  - Atlantis Press
SP  - 1076
EP  - 1089
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-662-8_84
DO  - 10.2991/978-94-6463-662-8_84
ID  - Raj2025
ER  -