| Issue |
ITM Web Conf.
Volume 86, 2026
5th International Conference on Current Research in Engineering and Technology (ICCRET-2026)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 10 | |
| Section | IoT & Smart Systems | |
| DOI | https://doi.org/10.1051/itmconf/20268603002 | |
| Published online | 05 June 2026 | |
Spraying of Pesticides and Herbicides using Drone Technology
1 Department of Computer Science & Engineering, Amity University, Lucknow
2 Department of Computer Science & Engineering, Amity University, Lucknow
3 Department of Computer Science & Engineering, Brainware University, Kolkata
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
** e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
*** e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Everyday about 200 thousand births take place and it is expected that future population will reach to the mark of 10 billion in the coming 30 years. This will cause food scarcity. Thus, need for modern agriculture is a necessity. There are many issues which lead to poor production of the crops some include irregular watering, over spraying of pesticides and vice versa. These issues can easily be resolved using the drone based spraying technology. Thus, this report will present, the information about the spraying of herbicides and pesticides using drone-based technology. It will cover the areas involving crop monitoring and spraying using drone. The work related to drone structure, multiple sensor development, and programming language usage for various purpose will also be done. Effect of Artificial Intelligence and Deep learning will also be discussed in the field of crop surveillance. The Components and processing of drone will also be discussed.
Key words: Drone spraying / pesticides / artificial intelligence / crop health
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.