| Autor: |
Duy Can Nguyen, Masaru Mizoguchi, Trong Tinh Pham Van, Tien Cao-hoang, Viet Truyen Pham, Kim Anh Su |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Soft Computing: Biomedical and Related Applications ISBN: 9783030766191 |
| Popis: |
This paper presents an Internet of Thing system based on the LoRa wireless sensor network to monitor soil moisture to support agricultural cultivation in drought season. Our proposed system was developed using Ai Thinker Ra-02 LoRa module integrated with Arduino pro mini board, which is responsible for gathering soil moisture and transmitting data to a gateway for forwarding to a data server on the internet. So that, farmers and researchers can monitor the soil condition remotely. Two experiments were conducted, which are the sensor calibration test to calculate the volumetric water content from the sensor’s analog signal and the network coverage test to find the LoRa module capability. The system had been deployed to test in the real situation. It is expected to support the farmer to monitor the soil condition of plants due to the effects of drought and salinity phenomena. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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