Analysis of Data Communication and Soil Moisture and pH Sensors in Soil Monitoring System using LoRa Technology: Performance Evaluation and Distance Measurement
- DOI
- 10.2991/978-94-6463-364-1_66How to use a DOI?
- Keywords
- Humidity; Acidity Level (pH); LoRa; Firebase sevices
- Abstract
Monitoring soil moisture and pH levels is crucial for tracking the health of plants. Therefore, it is necessary to develop a device for measuring soil moisture and pH with the aim of plant monitoring. This device utilizes Long Range technology and consists of two nodes that monitor two different soil parameters: soil moisture and pH levels. Test results indicate that this device is capable of measuring soil moisture with the smallest error rate of 0.0254% and pH levels with the smallest error rate of 0.29%. Monitoring data is transmitted via LoRa technology with a range of up to 400 m, and the testing results successfully detected RSSI and SNR values. For Node A, the average RSSI value was -113.6 dBm, and the average SNR value was -2.55 dB. Meanwhile, for Node B, the average RSSI value was -116.6 dBm, and the average SNR value was 2.35 dB. Data can be accessed through a website using Firebase services.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mina Naidah Gani AU - Hepi Ludiyati AU - Rifa Hanifatunnisa AU - Eril Mozef PY - 2024 DA - 2024/02/17 TI - Analysis of Data Communication and Soil Moisture and pH Sensors in Soil Monitoring System using LoRa Technology: Performance Evaluation and Distance Measurement BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023) PB - Atlantis Press SP - 715 EP - 728 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-364-1_66 DO - 10.2991/978-94-6463-364-1_66 ID - Gani2024 ER -