Designing an Automated Indoor Nutrient Film Technique (NFT) Hydroponic System for Microgreens: Integrating Internet of things (IoT)- Based Artificial Intelligence (AI) Control with Algae Prevention and Detection
ReinzIel Earl C. Astrera, Edgardo Jr. R. Belay, Jonathan A. Calosa, Joven C. De Jesus, Bethoven Q. Oliveros and Rogelio E. Salalim..-
- Manila: Technological University of the Philippines, 2025
- xviii,151pages: 29cm.
Bachelor's Thesis
College of Engineering..-
Includes bibliographic references and index.
This study presents an automated indoor Nutrient Film Technique (NFT) hydroponic system for microgreen cultivation, incorporating IoT and AI to overcome traditional farming limitations like scarce arable land, pest infestations, and ineffective algae detection. The system enables real-time monitoring and automated control of critical parameters, including pH, electrical conductivity (EC), oxidation-reduction potential (ORP), temperature, and humidity, to optimize growth conditions. A web-based application allows remote access for farmers to view data and make adjustments, streamlining operations. An integrated ozone generator suppresses algae growth,
preserving nutrient solution integrity and promoting healthy plant development. AI- driven deep learning processes images and sensor data to identify early algae
proliferation and plant diseases, facilitating timely interventions. Radish microgreens were tested due to their quick germination and high yields, revealing superior health and uniformity compared to soil methods, which suffer from uneven light, nutrient rivalry, and pests. As a scalable model, it addresses food security needs, with future upgrades including additional sensors, AI enhancements, and improved enclosures for better control.
Keywords: Nutrient Film Technique (NFT); Internet of Things (IoT); Artificial Intelligence (AI); Real time Monitoring; EC (Electrical Conductivity); ORP (Oxidation reduce potential); Microgreens (Radish); pH;
Electrical Engineering Nutrient Film Technique (NFT) Artificial Intelligence (AI); Real time Monitoring;