Abstract

Abstract Indonesia faces significant challenges in the agricultural sector, such as limited productive land and climate change, which threaten food security. The plant factory emerges as a relevant solution by integrating hydroponic technology and automation to enable year-round controlled food production. This study aimed to develop an IoT-based microclimate monitoring system using the Node-RED platform within a plant factory. The system allowed for real-time temperature, humidity, and light intensity monitoring. The methodology involves designing a system utilizing an Arduino Mega 2560 microcontroller, DHT22 and GY-49 sensors, and an ESP01S WiFi module. The collected data was transmitted via the MQTT protocol and displayed on the Node-RED dashboard. The results demonstrated that this system effectively monitored climate parameters and could enhance the efficiency and productivity of the plant factory, represented by all sensors functioning correctly. The DHT22 sensor has been calibrated with a standard Thermohigrometer measuring instrument with a temperature RMSE value of 1.01 and a humidity RMSE of 5.88. Likewise, the GY-49 sensor has been calibrated with a standard lux meter. In calibrating the GY-49, the equation entered in the coding is 0.978 * sensor reading + 0.891, and the resulting RMSE value is 57.91. During the testing phase, the datalogger hardware system can run 100%. Consequently, this system significantly supports sustainable modern agriculture and national food security.

Concepts :

Access to Document

Citations by Year