Our project focuses on utilizing Artificial Intelligence to monitor and optimize irrigation systems, providing assistance to farmers for achieving productive crop harvests. By implementing an IoT-based monitoring system, we aim to enable farmers to irrigate their crops based on real-time moisture and temperature values. The system ensures that each plant receives adequate water and sunlight by utilizing data collected through IoT technology.
In this project, we have developed a wireless rover irrigation system controlled by a microcontroller acting as the master controller. The rover's wireless interface is operated using joysticks. The sensor unit integrated into the rover system includes a moisture sensor and a temperature sensor to detect moisture and temperature levels in close proximity to the plants. To analyze the data collected, we have utilized Integromat, Google Assistant, Bolt IoT, Telegram bot, and Mailgun. Additionally, a Bolt WiFi module is used to establish an internet connection. We have utilized the Bolt cloud platform for data storage, analysis, and prediction.
This project is an excellent choice for final year students in Computer Science and Electronics.
Components provided in this project:
Choose this project to explore the intersection of Artificial Intelligence and irrigation systems, making a valuable contribution to the field of agriculture.