AI Based Environmental Monitoring System with Farm Automation
<p><span lang="EN-PH">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 Thing Speak 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.</span></p>
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-20
- DOI
- https://doi.org/10.5281/zenodo.16910570
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00