Environmental monitoring system used for autonomous irrigation station

This paper presents a smart system appropriate for environmental monitoring based on Wireless Sensor Network (WSN) using IoT systems. The meteorological sensor node used is equipped with NodeMCU ESP8266 boards and sensors to measure temperature, air humidity, and soil moisture. The locations of the nodes are sent and stored with the measured data in a MySQL database created within the Raspberry Pi 3B micro-computer used as a LAMP server. In addition, a custom graphical User Interface (GUI) is developed and associated with the WSN to facilitate visualization and interpretation of collected data through the end user. The tests were performed for a period of three weeks. Using the experimental results, automatic irrigation is provided, thereby saving time, money, and the human effort to make the agriculture smarter.

Authors

Institutions

Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/ic2em63689.2025.11101070
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental monitoring system used for autonomous irrigation station

A. Adane, Sara Belkisse Merrah
Water Quality Monitoring Technologies
article

Environmental monitoring system used for autonomous irrigation station

A. Adane, Sara Belkisse Merrah
article en

Abstract

This paper presents a smart system appropriate for environmental monitoring based on Wireless Sensor Network (WSN) using IoT systems. The meteorological sensor node used is equipped with NodeMCU ESP8266 boards and sensors to measure temperature, air humidity, and soil moisture. The locations of the nodes are sent and stored with the measured data in a MySQL database created within the Raspberry Pi 3B micro-computer used as a LAMP server. In addition, a custom graphical User Interface (GUI) is developed and associated with the WSN to facilitate visualization and interpretation of collected data through the end user. The tests were performed for a period of three weeks. Using the experimental results, automatic irrigation is provided, thereby saving time, money, and the human effort to make the agriculture smarter.

University of Abou Bekr Belkaïd (DZ)
Climate action
Openalex Percentile: Top 80%
Water Quality Monitoring Technologies
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.