An IoT-based real-time water quality monitoring system for integrated rice-shrimp farming in the Mekong Delta

DOI https://doi.org/10.31130/ud-jst.2026.24(9).407

Tóm tắt: 24 | PDF: 12

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Author

  • Nhan Hoang Vo
    Kien Giang University, An Giang Province, Vietnam
    Nhung Ngoc Chau
    Kien Giang University, An Giang Province, Vietnam

Từ khóa:

Internet of Things
water quality monitoring
rice-shrimp farming
Mekong Delta
ESP32

Tóm tắt

This study designed, implemented, and field-evaluated a low-cost Internet of Things (IoT)-based system for real-time water quality monitoring in integrated rice–black tiger shrimp farming at Xeo Dinh Hamlet, Tay Yen Commune, An Giang Province. The system used two ESP32-C5 microcontrollers, DFRobot Gravity sensors for pH, dissolved oxygen (DO), and electrical conductivity (EC), a DS18B20 temperature sensor, and an OLED display housed in an IP65 enclosure. Data were transmitted via Wi-Fi to a MySQL database every 5 minutes, with a web dashboard and email alerts. During 69 days of deployment from 1 February to 10 April 2026, the system achieved a 98.2% data collection rate with 19,519 valid samples, capturing clear diurnal cycles, a dry-season increasing trend, and a mid-March salinity intrusion event with timely alerts. The hardware cost was approximately 10.9 million VND, supporting replication by small-scale farming households.

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Sep 30, 2026
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Cách trích dẫn
Vo, N. H., và N. N. Chau. “An IoT-Based Real-Time Water Quality Monitoring System for Integrated Rice-Shrimp Farming in the Mekong Delta”. Tạp Chí Khoa học Và Công nghệ Đại học Đà Nẵng, vol 24, số p.h 9, Tháng Chín 2026, tr 24-31, doi:10.31130/ud-jst.2026.24(9).407.

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