DESIGN AND DEVELOPMENT OF A PPM CONTROL SYSTEM FOR AEROPONIC LETTUCE PLANT NUTRIENT BASED ON MICROCONTROLLERS AND INTERNET OF THINGS.

Autor: Chandranata, Adi, Kurniadi, Dedi, Aryananda, Fiky
Předmět:
Zdroj: Journal of Social Research; Jan2024, Vol. 3 Issue 2, p368-381, 14p
Abstrakt: This research aims to address the issue of decreasing agricultural land due to the increasing population, which has led to the conversion of farmland into residential areas. One solution to this problem is the use of aeroponic farming, especially in urban areas. This study focuses on an Internet of Things (IoT)-based aeroponic lettuce plant nutrition control system that utilizes various sensors to maintain the stability of the nutrient solution. The TDS sensor in the system is capable of maintaining the ppm value of the solution between 560-840 ppm, which is essential for the growth of lettuce plants. When the ppm value falls below the set point, the peristaltic pump is triggered to fill the nutrient solution actively. The DHT22 sensor is used to detect the temperature and humidity levels in the range of 27-33°C and 70%-95%, respectively. The ultrasonic sensor is used to measure the water level in the box. The system's TDS sensor was able to regulate the nutrient solution's level, and an average reading value of 675.08 ppm was obtained. The duration of watering and the level of the nutrient solution are done automatically, and the system can be monitored via smartphone, eliminating the need for manual checking every day. This IoT-based aeroponic lettuce plant nutrition control system provides an efficient and effective solution for urban farming, where space is limited. The system's ability to regulate the nutrient solution's level and monitor the plant's growth via smartphone makes it an ideal solution for urban farmers who want to maximize their yield while minimizing their effort. This research contributes to the development of sustainable agriculture practices that can help address the challenges of food security in urban areas. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index