Published research
IoT-Based Smart Irrigation in Aquaponics
Sensor data, machine learning, and sustainable irrigation
- My role
- Research coauthor
- Timeline
- Published February 2024
- Year
- 2024
- Format
- Research paper
- Publisher
- Springer
- Classifiers compared
- 3
- Conference
- ICSCSP 2023
Context
Aquaponics combines fish farming and plant cultivation in a closed-loop system. The research explores how readings from the fish tank and crop soil can inform irrigation decisions and make the system easier to monitor.
Approach
Compared K-nearest neighbors, Naive Bayes, and artificial neural network classifiers using real-time sensor data to determine when to irrigate the soil. Two sets of sensors monitor the fish tank and the crop soil.
The build
An Arduino processes the sensor readings and sends them to Adafruit's cloud platform for visualization and analytics. The study also compares observations from regular water and lake water in the aquaponics system.
Outcome
Coauthored IoT-Based Smart Irrigation System in Aquaponics Using Ensemble Machine Learning, included in Soft Computing and Signal Processing (ICSCSP 2023). Springer published the paper on February 17, 2024, in Lecture Notes in Networks and Systems, volume 840, pages 199–208.