Development, Calibration, and Field Validation of an Internet of Things Based Real-Time Smart Soil Moisture Monitoring System Using Capacitive Soil Moisture Sensors

DOI

10.2991/978-94-6463-591-1_6How to use a DOI?

Keywords

Irrigation water management; smart irrigation system; irrigation scheduling; sensors calibration; soil moisture monitoring; internet of things; precision agriculture; water-energy-food nexus

Abstract

IoT-based precision irrigation optimizes agricultural practices by using real-time sensor data to automate irrigation systems. Unlike traditional, labor-intensive irrigation systems that waste time, energy, and water, modern sensor-driven systems enhance efficiency, conserving resources and increasing food production. This research presents the development, calibration, and field validation of an internet of things (IoT) based soil moisture monitoring system using capacitive soil moisture sensors. The system comprises several nodes installed in a series that are connected to a cloud server (central controller) via Wi-Fi/LORA (Long Range) module. Each node consists of an array of capacitive soil moisture sensors; Arduino-based microcontroller, power supply, and Wi-Fi/LORA module. Soil moisture sensors were calibrated with field soil and then installed in the field in the form of a vertical array. The sensors monitor soil moisture fluctuations at various depths within the crop’s root zone, microcontroller performs actions to maintain the required soil moisture dynamics and transmits the sensors data to the transceiver. The Wi-Fi/LORA module transfers data to the cloud server at a specified frequency i.e. 60 sec/cycle. Then data can then be accessed via a mobile phone application “BLYNK” which provides a Digital & Graphical User Interface for the real-time monitoring and regulating of water supply to the crops. The system provides an economical solution for real-time soil moisture monitoring in the root zone, keeping users informed about moisture levels. It can be deployed across irrigation fields to optimize water and energy use while maximizing crop yields.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Murad Ali
AU  - Hammad Ullah Khan Yousafzai
AU  - Khan Zaib Jadoon
PY  - 2024
DA  - 2024/12/01
TI  - Development, Calibration, and Field Validation of an Internet of Things Based Real-Time Smart Soil Moisture Monitoring System Using Capacitive Soil Moisture Sensors
BT  - Proceedings of the 1st International Conference on Climate Change and Emerging Trends in Civil Engineering (CCETC 2024)
PB  - Atlantis Press
SP  - 65
EP  - 81
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-591-1_6
DO  - 10.2991/978-94-6463-591-1_6
ID  - Ali2024
ER  -