AI Based Sustainable Agriculture Monitoring & Automation

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Pranali Ashok Shinde, Prajakta Vasant Kurhe

Abstract

This project presents a Smart Irrigation System with Air Quality Monitoring designed to enhance water efficiency and monitor environmental conditions affecting crop health. Utilizing soil moisture, temperature-humidity (DHT11), and CO/CO₂ gas sensors, the system automates irrigation via an Arduino UNO and ESP32, which transmits data to the ThingSpeak IoT platform. When soil moisture drops below a set threshold, a relay triggers the water pump. Gas sensors monitor air quality, and real-time data is visualized through a mobile app with manual control features. This scalable, energy-efficient solution reduces water wastage and supports sustainable, technology-driven farming. This project presents a Smart Irrigation System with Air Quality Monitoring designed to enhance water efficiency and monitor environmental conditions affecting crop health. Utilizing soil moisture, temperature-humidity (DHT11), and CO/CO₂ gas sensors, the system automates irrigation via an Arduino UNO and ESP32, which transmits data to the ThingSpeak IoT platform. When soil moisture drops below a set threshold, a relay triggers the water pump. Gas sensors monitor air quality, and real-time data is visualized through a mobile app with manual control features. This scalable, energy-efficient solution reduces water wastage and supports sustainable, technology-driven farming..

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