Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 13012 | |
Number of page(s) | 9 | |
Section | Other Renewable Energies | |
DOI | https://doi.org/10.1051/e3sconf/202454013012 | |
Published online | 21 June 2024 |
Automated Smart Crop Protection Utilising IoT: A Comprehensive Review
1 Department of Electronics & Communication Engineering, IES College Of Technology, Madhya Pradesh 462044 India, Bhopal .
2 Department of Medical Laboratory Technics, Al-Zahrawi University College, Karbala, Iraq
3 Department of Electronics & Communication Engineering, Uttaranchal Institute of Technology
4 Assistant Professor, Department of S&H, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
5 Professor, Department of Information Technology, Vishwakarma Institute of Information Technology, India Email: dharmesh.dhabliya@viit.ac.in orcid.org/0000-0002-6340-2993
6 Assistant Professor, Department of BCA, K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode. Mail Id: vimalrmail@gmail.com, Pune, Maharashtra
* Corresponding Author :research@iesbpl.ac.in
*** yashwantb3@gmail.com
**** gayathri.c_english@psvpec.in
In the modern agricultural landscape, the surge in demand for organic farming accentuates the imperative of continuous plant health monitoring. This becomes even more paramount when ensuring both the quality and quantity of produce. Crop devastation by wild and domestic animals, coupled with the challenge of maintaining optimal soil conditions, necessitates innovative solutions, particularly in settings where round-the clock human surveillance is not viable. This review delves into an advanced, automated crop protection system, amalgamating the prowess of the Internet of Things (IoT) and Wireless Sensor Network (WSN) to address these multifaceted issues. The objective of the highlighted research is to craft a remote system capable of ceaseless soil moisture assessment, thereby optimizing plant health and yield. Enhancing the efficiency and longevity of this system, the Exponential Weighted Moving Average (EWMA) event detection algorithm has been incorporated. Furthermore, the system safeguards agricultural territories from intruders and wild animal threats, offering farmers a robust mechanism to prevent substantial financial losses and ensuring they yield healthier, abundant crops.
© The Authors, published by EDP Sciences, 2024
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.