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.--

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

The intersection of LoRa and Internet of Things (IoT) technologies offers a scalable and
efficient solution to issues of the traditional urban agriculture, particularly in hydroponics.
Urban farming is also increasingly popular as a sustainable food production strategy in
densely populated areas, the demand is on the rise for state-of-the-art solutions to optimize
resource scalability, monitoring, and management. This study addresses these challenges
directly by building and embracing a hydroponic system for several vertical gardens, using
IoT and LoRa technologies to improve efficiency, minimize human involvement, and

maximize long-term sustainability. The proponent aims to build the system comprises IoT-
enabled sensors that continuously monitor important environmental parameters such as

temperature, humidity, light intensity, and nutrient composition, while LoRa
communications provide low-power, long-range data transmission for efficient central
control. This enables real-time monitoring and control of multiple hydroponic gardens
from one point of control, minimizing the requirement for on-site monitoring and greatly
enhancing efficiency in operations. Moreover, the system offers automation for essential
hydroponic operations such as pH balancing regulation, nutrient provision, and control of
climate, with decreased human control and greater plant growth conditions. Experimental
findings validate the performance of the system in improving the scalability of urban
agriculture uses, utilizing more efficiently utilization, and offering sound real-time
monitoring. The major findings are uniform system performance under varying
environmental conditions, being flexible in different urban environments. The sensors also
possess a 100% rate of accuracy in monitoring environmental factors, so that one can take
decisions with confidence. The automated system also causes minimal waste of water and
nutrients, helping to create a more sustainable agriculture system.