Abstract:
For the past few years, hydroponics has become popular due to its capability to produce nutrient-rich crops with minimum resources. The project concentrates on developing...Show MoreMetadata
Abstract:
For the past few years, hydroponics has become popular due to its capability to produce nutrient-rich crops with minimum resources. The project concentrates on developing a hydroponic system based on internet of things technology to provide a flexible growing environment. The paper provides a modern system for monitoring parameters like temperature, humidity, water temperature, TDS, pH, and light intensity via Wi-Fi in the Blynk platform. It promises an opportunity to grow varieties of crops throughout the year without the restrictions imposed by climate. Many researchers have contributed to this field of interest by exploiting various techniques and technologies such as leaf temperature-based watering system and different hardware like NodeMCU. The core elements of the proposed model are the Arduino board, ESP12F Wi-Fi module, DHT22 sensor, DS18B20 sensor, TDS sensor, pH sensor, LDR, LED light, and an ultrasonic atomiser. Tests have been conducted to appraise the performance and production consistency. The findings show that the Greek basil grown in the system achieved the best growth rate in which the plants' height was 26, 24, 23.6mm for the three samples, respectively. While the leaves number was 26, 13, and 10 with an average height of 9.07, 9.49, and 9.96mm, respectively. Besides, the root length was 90.6mm, 39.6mm, and 38.2mm, respectively. Similarly, the number of leaves of Loose-leaf lettuce of the three samples planted in the system was 16, 14, and 8 with 23.99mm, 31.87mm, and 36.49mm average height, respectively, while the plant height reached 48.3, 79.8, and 80.2mm and roots length of 92.7mm, 83.7mm, and 38.2mm. Therefore, the paper's findings have concluded that the proposed IoT-based hydroponic system performed satisfyingly. The growth rate was better than the other scenarios tested, and the system manifested consistent results.
Published in: 2021 International Conference on System, Computation, Automation and Networking (ICSCAN)
Date of Conference: 30-31 July 2021
Date Added to IEEE Xplore: 06 September 2021
ISBN Information: