Development of an automated data acquisition system for hydroponic farming

• Main Authors: Tagle, Sean, Pena, Rica, Oblea, Frances, Benoza, Hans, Ledesma, Nadine, Gonzaga, Jeremias, Gan Lim, Laurence A.
• Format: text
• Published: Animo Repository 2019
• Subjects: Hydroponics > Automation
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1846; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2845/type/native/viewcontent/HNICEM.2018.8666373
• Institution: De La Salle University

There have been numerous technological advancements in the field of agriculture in recent years. One of which is hydroponic farming - a soil-less method of cultivating crops using nutrient enriched water. While hydroponic farming has numerous advantages, the methods are more complicated than those of conventional farming. Possibilities of system failure are higher due to added factors of growing. An Arduino-based automated data acquisition system (DAQ) was developed to easily diagnose and troubleshoot the system. This paper presents the design, construction, and calibration of the DAQ system that can log six different growing conditions - air temperature, relative humidity, water temperature, water level, pH level, and light intensity. Results showed that the sensors were properly calibrated and accurate based on standard instruments. Additionally, plot curves of each parameter were generated from the collected data in the system. © 2018 IEEE.