SMART IRRIGATION WITH ENVIRONMENTAL MONITORING SYSTEM USING RASPBERRY PI PICO
Water scarcity and inefficient irrigation practices demand intelligent agricultural solutions. This paper presents alow-cost, energy-efficient smart irrigation system powered by the Raspberry Pi Pico W, integratingenvironmental sensing and human detection for optimized water usage. The system employs a DHT11/DHT22sensor to monitor temperature and humidity, a soil moisture sensor to assess real-time soil conditions, and a PIR(Passive Infrared) sensor to detect human presence, ensuring safety and manual intervention capability.The Raspberry Pi Pico 2W processes sensor data and controls a water pump/valve via a relay module, activatingirrigation only when necessary. The built-in Wi-Fi capability of the Pico W enables remote monitoring andcontrol through a web dashboard or mobile app. This system minimizes water wastage, prevents over-irrigation,and enhances user safety by halting operation when humans are nearby. Future improvements could includesolar power integration, weather API-based scheduling, and edge AI for predictive analytics. The paperdemonstrates a scalable, sustainable, and IoT-ready approach to smart agriculture.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-21
- DOI
- https://doi.org/10.5281/zenodo.15711389
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00