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Hydroponics Farm Monitoring Using Data Fusion and Fuzzy Logic Algorithm

Alex C. Bacalla and Albert A. Vinluan
AMA University, Quezon City, Philippines
Abstract—This study was made to develop a hydroponics farm monitoring that focuses on the four critical factors in a hydroponics farming namely, the potential of hydrogen (pH), water level, water temperature and Electrical Conductivity (EC) using data fusion and fuzzy logic algorithm. The prototype can automatically control the four critical factors inside the nutrient tank. A cloud-based logging system was in place to store sensor data readings for future reference and visual alarm. Also, the SMS notification system comes handy if access to the cloud platform is not possible. Simulation using MATLAB and Simulink was used together with a prototype demonstration and evaluation form used by a team of evaluators to evaluate the prototype. The results revealed that the prototype model garnered a superior rating from the group of evaluators.
Index Terms—data fusion, electrical conductivity, fussy logic, pH, prototype
Cite: Alex C. Bacalla and Albert A. Vinluan, "Hydroponics Farm Monitoring Using Data Fusion and Fuzzy Logic Algorithm," Journal of Advanced Agricultural Technologies, Vol. 6, No. 2, pp. 101-107, June 2019. Doi: 10.18178/joaat.6.2.101-107
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