Development of an Automated Data Acquisition System for Hydroponic Farming
| Autor: | Jeremias A. Gonzaga, Rica Pena, Laurence A. Gan Lim, N.A. Ledesma, Hans Benoza, Sean Tagle, Frances Oblea |
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| Rok vydání: | 2018 |
| Předmět: |
Intensive farming
business.industry 05 social sciences 050301 education Humidity 02 engineering and technology Agricultural engineering Plot (graphics) Light intensity Data acquisition Agriculture Arduino 0202 electrical engineering electronic engineering information engineering Calibration Environmental science 020201 artificial intelligence & image processing business 0503 education |
| Zdroj: | 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM). |
| DOI: | 10.1109/hnicem.2018.8666373 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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