IoT-Based Real-Time Monitoring of Hydroponic Systems for Caisim (Brassica juncea) with Spreadsheet Integration

Algifari A. Pilanto, Alfian Ma'arif, Muhammad Haryo Setiawan

Abstract


This research investigates the integration of Internet of Things (IoT) technology and spreadsheet databases to enhance real-time monitoring and control of a hydroponic system, specifically for the cultivation of Caisim (Brassica juncea). The system utilizes an ESP32 microcontroller and DHT22 sensors to monitor temperature and humidity, transmitting data to a Google Sheets spreadsheet for real-time analysis. The hydroponic setup consists of a multi-level nutrient circulation system, ensuring optimal nutrient supply to the plants. The results demonstrate the effectiveness of the system in maintaining ideal environmental conditions, resulting in robust plant growth. Over a 30-day period, the caisim plants achieved a height of 27 cm, produced nine leaves, and exhibited a leaf width of 9.4 cm. The use of spreadsheets for data logging allows for detailed trend analysis and timely adjustments, offering a more efficient and precise approach compared to traditional monitoring methods. Future enhancements could include the integration of additional sensors for monitoring pH levels and the development of an interactive dashboard for enhanced user experience and system optimization.

Keywords


Hydroponics; Real-Time Monitoring; Caisin (Brassica junceai); Spreadsheet Integration

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References


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DOI: https://doi.org/10.21107/jsa.v1i2.19

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Journal of Science in Agrotechnology
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