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Journals / Turkish Journal of Agricultural Engineering Research / 2026 / Volume: 7 Issue: 1

An Affordable Internet of Things Based Water Level Monitoring System for Alternate Wetting and Drying Irrigation Management in Paddy Cultivation

Surajıt Sarkar(Agromech Development Initiatives (ADI) Foundation)0009-0004-8272-0075
Joy Biswas(AgroMech Development Initiatives (ADI) Foundation)0009-0006-4058-6415
Mohammad Monjurul Alam(Bangladesh Agricultural University)0009-0002-8051-7810
Pages
—
Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Benefits such as water savings, greenhouse gas emission reduction, and labor reduction are consistent with published AWD literature but were not directly measured in this study and require confirmation through future comparative field trials.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Rice is the staple food for over 3.5 billion people globally.
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Key Findings & Data:Under controlled test conditions, the system achieved 100% water level classification accuracy across 30 observations (95% CI: 88.6%–100%, Wilson score interval), correctly categorizing all water levels into predefined High, Low, and Very Low statuses.
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Conclusion & Impact:Benefits such as water savings, greenhouse gas emission reduction, and labor reduction are consistent with published AWD literature but were not directly measured in this study and require confirmation through future comparative field trials.
🔬Design:Experimental Field Trial
📍Scope:Comprehensive Sample
⚙️Variables:Internet of Things (IoT) · Alternate Wetting and Drying (AWD) · Water level monitoring

Abstract

Rice is the staple food for over 3.5 billion people globally. The increasing demand for freshwater and declining resource availability pose serious challenges to paddy production. Alternate Wetting and Drying (AWD) is a proven irrigation technique that can reduce water use, but manual monitoring limits its adoption. This study presents the development and preliminary validation of an affordable IoT-based AWD monitoring prototype designed to automate water level monitoring in paddy fields. The system uses sensor probes connected to a solar-powered, Wi-Fi-enabled microcontroller and transmits real-time water level data to a cloud database accessible through a dedicated Android application, allowing farmers to monitor and manage irrigation remotely. Under controlled test conditions, the system achieved 100% water level classification accuracy across 30 observations (95% CI: 88.6%–100%, Wilson score interval), correctly categorizing all water levels into predefined High, Low, and Very Low statuses. The Very Low class was represented by only two observations, and all results should be interpreted cautiously pending long-term multi-season field validation. The total system cost is USD 42, making it potentially accessible to smallholder farmers. Benefits such as water savings, greenhouse gas emission reduction, and labor reduction are consistent with published AWD literature but were not directly measured in this study and require confirmation through future comparative field trials.

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Cite This Article

Sarkar, S., Biswas, J., Alam, M. M. (2026). An Affordable Internet of Things Based Water Level Monitoring System for Alternate Wetting and Drying Irrigation Management in Paddy Cultivation. Turkish Journal of Agricultural Engineering Research, Volume: 7 Issue: 1. https://doi.org/10.46592/turkager.1855897

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