| Issue |
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
|
|
|---|---|---|
| Article Number | 00087 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202346900087 | |
| Published online | 20 December 2023 | |
LoraWAN-based intelligent multi-greenhouse monitoring and control
1 Lab of Electronic Systems, Information Processing, Mechanics and Energetics Faculty of science University Ibn Tofail, Morocco
2 Lab of Advanced Systems Engineering (ISA) National School of Applied Sciences University Ibn Tofail Kenitra, Morocco
* Corresponding author: abdelkader.mezouari1@uit.ac.ma
The development of communication technologies has brought about a revolution in agriculture and greenhouse farming. It has empowered farmers with the ability to monitor and control various parameters with greater precision and efficiency. As prolonged rainfall and excessive heat increase the risk of pests and diseases resulting in crop failure, an agricultural greenhouse is more important in the agricultural sector. The system of greenhouse cultivation is relatively new; therefore, farmers still use this system traditionally. The monitoring of different agriculture parameters, like humidity, temperature, brightness, etc., is done with the help of a human being. It is observed that farmers have to bear huge financial losses due to bad weather forecasts and bad methods of irrigation. Therefore, this research aims to develop a multi-greenhouse monitoring and control platform using IoT architecture based on LoraWAN modules.
© The Authors, published by EDP Sciences, 2023
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.