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.15711388
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

SMART IRRIGATION WITH ENVIRONMENTAL MONITORING SYSTEM USING RASPBERRY PI PICO

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

SMART IRRIGATION WITH ENVIRONMENTAL MONITORING SYSTEM USING RASPBERRY PI PICO

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 44%
Smart Agriculture and AI
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SMART IRRIGATION WITH ENVIRONMENTAL MONITORING SYSTEM USING RASPBERRY PI PICO · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS