Research Article
Development of Nutrient Film Techniques on Solar-Powered Internet of Things Devices for Aeroponic Planting
@INPROCEEDINGS{10.4108/eai.20-10-2022.2329062, author={Muhammad Dominique Mendoza and Olnes Yosefa Hutajulu and Denny Haryanto Sinaga and Reni Rahmadani and M Aulia Rahman Sembiring}, title={Development of Nutrient Film Techniques on Solar-Powered Internet of Things Devices for Aeroponic Planting}, proceedings={Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 2022, Medan, North Sumatra, Indonesia}, publisher={EAI}, proceedings_a={ACEIVE}, year={2023}, month={5}, keywords={aeroponic nutrien film technique esp32 automation and control solar power}, doi={10.4108/eai.20-10-2022.2329062} }- Muhammad Dominique Mendoza
Olnes Yosefa Hutajulu
Denny Haryanto Sinaga
Reni Rahmadani
M Aulia Rahman Sembiring
Year: 2023
Development of Nutrient Film Techniques on Solar-Powered Internet of Things Devices for Aeroponic Planting
ACEIVE
EAI
DOI: 10.4108/eai.20-10-2022.2329062
Abstract
Cultivation by replacing soil media with charcoal or other media, known as the hydroponic method, is now very popular. This hydroponic cultivation method then developed further into an aeroponic one, namely the cultivation of plants in the air without using any soil at all. This method aims to use water optimally, maximize the use of space, and reduce the human resources involved in its management because it is equipped with automatic control equipment. However, aeroponic cultivation techniques are very dependent on electric power, so if the power source is cut off, the system cannot work. Similarly, in the process of plant care. This controller device was developed using ESP32 so that the device can work automatically and can still be monitored by factory managers from anywhere and anytime by utilizing internet of things technology. This module utilizes temperature sensors, proximity sensors, and water quality sensors to support the automation of aeroponic plant cultivation. Based on the test results, it was found that each sensor works well with a small error: the temperature sensor has a reading accuracy rate of 96.54%, the proximity sensor is 97.2%, and the nutrition sensor is 96.8%. Based on the permissible error standard, which is a maximum of 5%, the performance of this aeroponic cultivation control device deserves to be in the proper category.
