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An IoT-based Smart Agriculture System using LoRa and Cloud Monitoring for Automated Greenhouse Control
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 52 |
| Year of Publication: 2025 |
| Authors: Nabiha Ben Abid, Abdalla M. Khattab, Hani A.M. Harb, Chokri Souani |
10.5120/ijca2025925788
|
Nabiha Ben Abid, Abdalla M. Khattab, Hani A.M. Harb, Chokri Souani . An IoT-based Smart Agriculture System using LoRa and Cloud Monitoring for Automated Greenhouse Control. International Journal of Computer Applications. 187, 52 ( Nov 2025), 7-15. DOI=10.5120/ijca2025925788
Abstract
New agricultural opportunities have been made possible by the quick development of digital technologies, particularly with the use of Internet of Things (IoT) systems. This paper describes the design and execution of an integrated Internet of Things (IoT)-based smart agricultural solution that combines automated greenhouse control with wireless environmental monitoring using LoRa connectivity. The system architecture consists of two primary subsystems: a greenhouse control unit that uses a Raspberry Pi Pico W to regulate important factors like irrigation, lighting, and cooling, and a sensor node that uses an ESP32 Heltec LoRa module to collect field data. Real-time visualization and remote control through a mobile application are made possible by the transmission of sensor data, such as temperature, humidity, and soil moisture, over LoRa or Wi-Fi to cloud-based platforms like Tago.io. The system also incorporates energy-saving strategies through extended sleep modes to increase energy efficiency. To improve energy efficiency, the system also uses deep sleep modes and other power-saving techniques. Results from real-world implementation show how well the system works to provide automatic reaction capabilities and ongoing environmental monitoring. In order to enhance crop output, maximize resource utilization efficiency, and enable precision agriculture, the suggested solution provides a scalable, economical, and energy-efficient instrument.
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