Smart Irrigation System with Low-Power WSNs for Sustainable Water Management in Agriculture

As global water scarcity and agricultural demands intensify, the need for efficient irrigation systems becomes paramount. This paper presents an irrigation system utilizing a wireless sensor network (WSN) to optimize water management in agriculture. The system incorporates soil moisture, humidity, and temperature sensors connected to a Mini ESP32 S2 microcontrollers at the end-device nodes and ESP32 microcontrollers at the sink node. These sensors enable real-time data collection, analysis, and automated irrigation control based on environmental conditions, enhancing water conservation and crop productivity. The WSN uses the ESP-NOW communication protocol, ensuring reliable data transmission and secure, low-power operation in challenging environments. The system's low energy consumption is a key feature, with the end-device nodes achieving an average power consumption of 0.57 mA/h, powered by a 8800 mAh battery, providing a projected operational autonomy of 647 days. The results demonstrate that this intelligent system can significantly reduce water wastage while maintaining optimal soil conditions for crops, making it a sustainable solution for precision agriculture.

Authors

Institutions

Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/ic2em63689.2025.11101242
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Irrigation System with Low-Power WSNs for Sustainable Water Management in Agriculture

Youcef Remram, Samir Chadli, Billel Bengherbia, Karim Ben Si Said et al.
1 citations
Water Quality Monitoring Technologies
0.82
article

Smart Irrigation System with Low-Power WSNs for Sustainable Water Management in Agriculture

Youcef Remram, Samir Chadli, Billel Bengherbia, Karim Ben Si Said, Abdelmoughni Toubal, Nazim Oudahi
article en
1 citations

Abstract

As global water scarcity and agricultural demands intensify, the need for efficient irrigation systems becomes paramount. This paper presents an irrigation system utilizing a wireless sensor network (WSN) to optimize water management in agriculture. The system incorporates soil moisture, humidity, and temperature sensors connected to a Mini ESP32 S2 microcontrollers at the end-device nodes and ESP32 microcontrollers at the sink node. These sensors enable real-time data collection, analysis, and automated irrigation control based on environmental conditions, enhancing water conservation and crop productivity. The WSN uses the ESP-NOW communication protocol, ensuring reliable data transmission and secure, low-power operation in challenging environments. The system's low energy consumption is a key feature, with the end-device nodes achieving an average power consumption of 0.57 mA/h, powered by a 8800 mAh battery, providing a projected operational autonomy of 647 days. The results demonstrate that this intelligent system can significantly reduce water wastage while maintaining optimal soil conditions for crops, making it a sustainable solution for precision agriculture.

University of Sciences and Technology Houari Boumediene (DZ), University Yahia Fares of Medea (DZ)
Zero hunger
Openalex Percentile: Top 24%
Water Quality Monitoring Technologies
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smart Irrigation System with Low-Power WSNs for Sustainable Water Management in Agriculture — Youcef Remram, Samir Chadli, et al. · (2025) | TGRS Research Map | TGRS