03012nam a22003377a 4500 OSt 20260616113227.0 260616b |||||||| |||| 00| 0 eng d English TUPM TUPM rda BTH TK 146 A88 2025 Astrera, Renziel Earl C. Author 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. rdacontent rdamedia rdacarrier Bachelor's Thesis College of Engineering..- Bachelor of Science in Electrical Engineering: Technological University of the Philippines, 2025. 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; Belay, Edgardo Jr., R. Author Calosa, Jonathan A. Author De Jesus, Joven C. Author Oliveros, Bethoven Q. Author Salalima, Rogelio E. Author lcc BTH COE 0 0 0 lcc 0 0 TUP TUP Bachelor's Thesis COE-2F 2026-06-16 Donation BTH-6826 0 BTH TK 146 A88 2025 BTH0006826 2026-06-16 2026-06-16 BTH COE 31538 31537