IRRIGO-Smart Water Irrigation

Team

Gurkirat Singh Grewal, Jatinder Singh, Kelvin Abiodun

Categories

Cloud, IoT, Machine Learning, Wireless

Overview

This project involves the development of an IoT-enabled gardening system utilizing an Arduino ESP32 integrated with a moisture sensor and a DHT11 temperature and humidity sensor. The system is designed to automate and optimize plant care through a user-friendly cloud interface created on the Arduino IoT Cloud. Users can remotely monitor environmental conditions and manage watering schedules tailored to different plant needs via customizable "plant profiles."

The system ensures optimal growth conditions by allowing for real-time adjustments based on the specific requirements of each plant type. Comprehensive coding, meticulous hardware assembly, and extensive testing have been carried out to ensure the system's functionality and reliability. This project not only enhances garden management through automation but also promotes efficient water use and provides educational insights into plant care.

Project Poster