SYSTEAM: AN AUTOMATED FOGPONICS SYSTEM WITH IOT INTEGRATION FOR SUSTAINABLE FARMING AND MONITORING

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dc.contributor.authorHornilla, Zylwin S.
dc.contributor.authorPagarigan, Xyrille Jhan C.
dc.contributor.authorReyes, Mac Jarrod T.
dc.date.accessioned2025-04-29T06:28:41Z
dc.date.available2025-04-29T06:28:41Z
dc.date.issued2024-05-30
dc.description.abstractTraditional farming methods have a high level of resource consumption, they are at risk of climate change, pests, and diseases which lead to reduced yields as well as food insecurity. Fogponics, also called "Aeroponics 2.0" leverages ultrasonic fogger to create a nutrient-rich fog that envelops plant roots, enabling optimized nutrient absorption and growth. The study aims to design and develop an Automated Fogponics System with IoT Integration for Sustainable Farming and Monitoring, utilizing the spring onion plant, at CLSU Hydroponics and Aquaponics Technologies (CHAT). The Blynk application is used to monitor the water level status of the fogponics chambers, and serves as the microcontroller to automatically control the refilling process. Integrating 2 different fogging frequencies the 45 Minutes Fogging Frequency (45MFF) and the 30 Minutes Fogging Frequency (30MFF), each having 15 minutes deactivation respectively. Both frequencies utilize the same treatments, therefore the thorough evaluation of the system lies on the best frequency to be used for the crops. The 30MFF, in terms of plant height, has an average growth rate of 9.25 cm., and 3.53 in terms of the number of leaves, harvesting 18 out of 18 pieces equivalent to 132 grams in yield. On the other hand, the 45MFF, in terms of plant height, has an average rate of decrease of 2.67 cm., and 1.83 in terms of the number of leaves, plants did not grow sufficiently for harvest, therefore there is nothing that has been harvested in this frequency. The 30MFF outperformed the 45 MFF in terms of yield, and through the trials and data collection implemented it is evident that the comparative performance of the 30MFF proves that it is the best frequency to be utilized for spring onion production. This outcome proves the effectiveness of the system as it was able to determine which fogging frequency works best for the plant.
dc.identifier.urihttp://granarium.clsu.edu.ph/handle/123456789/140
dc.relation.supervisorMR. JOEY G. FERNANDO
dc.titleSYSTEAM: AN AUTOMATED FOGPONICS SYSTEM WITH IOT INTEGRATION FOR SUSTAINABLE FARMING AND MONITORING
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