000			03012nam a22003377a 4500
003			OSt
005			20260616113227.0
008			260616b |||||||| |||| 00| 0 eng d
040			_bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 146 _bA88 2025
100			_aAstrera, Renziel Earl C. _eAuthor
245			_aDesigning an Automated Indoor Nutrient Film Technique (NFT) Hydroponic System for Microgreens: _bIntegrating Internet of things (IoT)- Based Artificial Intelligence (AI) Control with Algae Prevention and Detection _cReinzIel Earl C. Astrera, Edgardo Jr. R. Belay, Jonathan A. Calosa, Joven C. De Jesus, Bethoven Q. Oliveros and Rogelio E. Salalim..-
260			_aManila: _bTechnological University of the Philippines, _c2025
300			_axviii,151pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's Thesis
502			_aCollege of Engineering..- _bBachelor of Science in Electrical Engineering: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aThis 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;
650			_aElectrical Engineering
650			_aNutrient Film Technique (NFT)
650			_aArtificial Intelligence (AI); Real time Monitoring;
700			_aBelay, Edgardo Jr., R. _eAuthor
700			_aCalosa, Jonathan A. _eAuthor
700			_aDe Jesus, Joven C. _eAuthor
700			_aOliveros, Bethoven Q. _eAuthor
700			_aSalalima, Rogelio E. _eAuthor
942			_2lcc _cBTH COE _n0
999			_c31538 _d31537