In this study, a system of a soil moisture and water level monitoring system based on the Internet of Things (IoT) was created to facilitate monitoring of rice fields. In this system, the smart device used is equipped with one capacitive soil moisture sensor and one ultrasonic distance sensor. Data from both sensors is processed by the ESP32 microcontroller and then sent to the GSM SIM800L module to be sent to the Blynk cloud database. The smart device is powered by two 18650 battery modules. A smartphone application is created using Blynk to display data stored in the database. Based on controlled testing, the water level sensor can read the water level with an error value of 0.1 cm from a height of 0 to 10 cm. The soil moisture sensor, based on testing, can read soil moisture accurately from dry to when the soil is added with 20 percent water from the dry mass with an error value of 3%. Based on the data read by the soil moisture sensor, the soil being tested is saturated when 50% water is added. The battery installed on the device can provide power to the device for up to 35 h 31 min.

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IoT-Based Soil Moisture and Water Level Monitoring System in Rice Fields

  • Wiedjaja Atmadja,
  • Ivan Alexander,
  • Francis Budiraharja Santoso,
  • Billie Christianto,
  • Andi Muhammad Ravi Arrahman

摘要

In this study, a system of a soil moisture and water level monitoring system based on the Internet of Things (IoT) was created to facilitate monitoring of rice fields. In this system, the smart device used is equipped with one capacitive soil moisture sensor and one ultrasonic distance sensor. Data from both sensors is processed by the ESP32 microcontroller and then sent to the GSM SIM800L module to be sent to the Blynk cloud database. The smart device is powered by two 18650 battery modules. A smartphone application is created using Blynk to display data stored in the database. Based on controlled testing, the water level sensor can read the water level with an error value of 0.1 cm from a height of 0 to 10 cm. The soil moisture sensor, based on testing, can read soil moisture accurately from dry to when the soil is added with 20 percent water from the dry mass with an error value of 3%. Based on the data read by the soil moisture sensor, the soil being tested is saturated when 50% water is added. The battery installed on the device can provide power to the device for up to 35 h 31 min.