Dinglasan, Von Miko D. <br/><br/>
Development of iot and lora for multiple vertical gardens using hydroponic system/ 
Von Miko D. Dinglasan, Xander Phoenix Hina, Aldwin Jacang, Rustan James Mendoza, Erickson P. Olitres, And  Shiela Joyce M. Santiago.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - xi, 116pages:  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The intersection of LoRa and Internet of Things (IoT) technologies offers a scalable and<br/>efficient solution to issues of the traditional urban agriculture, particularly in hydroponics.<br/>Urban farming is also increasingly popular as a sustainable food production strategy in<br/>densely populated areas, the demand is on the rise for state-of-the-art solutions to optimize<br/>resource scalability, monitoring, and management. This study addresses these challenges<br/>directly by building and embracing a hydroponic system for several vertical gardens, using<br/>IoT and LoRa technologies to improve efficiency, minimize human involvement, and<br/><br/>maximize long-term sustainability. The proponent aims to build the system comprises IoT-<br/>enabled sensors that continuously monitor important environmental parameters such as<br/><br/>temperature, humidity, light intensity, and nutrient composition, while LoRa<br/>communications provide low-power, long-range data transmission for efficient central<br/>control. This enables real-time monitoring and control of multiple hydroponic gardens<br/>from one point of control, minimizing the requirement for on-site monitoring and greatly<br/>enhancing efficiency in operations. Moreover, the system offers automation for essential<br/>hydroponic operations such as pH balancing regulation, nutrient provision, and control of<br/>climate, with decreased human control and greater plant growth conditions. Experimental<br/>findings validate the performance of the system in improving the scalability of urban<br/>agriculture uses, utilizing more efficiently utilization, and offering sound real-time<br/>monitoring. The major findings are uniform system performance under varying<br/>environmental conditions, being flexible in different urban environments. The sensors also<br/>possess a 100% rate of accuracy in monitoring environmental factors, so that one can take<br/>decisions with confidence. The automated system also causes minimal waste of water and<br/>nutrients, helping to create a more sustainable agriculture system. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Urban agriculture<br/>Long Range<br/>Internet of things