RAFT: An IoT-Based Nutrition Monitoring System for Bok Choy Hydroponics Plants

Abstract

The Internet of Things (IoT) plays a crucial role in technology advancements, especially in the agricultural sector, such as hydroponics. Manual monitoring of parameters like nutrient levels, pH, and water levels in plants consumes farmers' time and energy and increases the risk of crop failure. This research aims to evaluate the effectiveness of using IoT RAFT (Remote Automated Farming Technology) system for farmers, particularly hydroponic bok choy farmers, in monitoring and controlling plant nutrient levels and the development process using waterfall as a research methodology. Parameters tested in this research include bok choy height, number of leaves, and bok choy harvest weight. We conducted this research on 14 plants for one harvesting period, then we used linear regression to determine the growth rate by calculating the slope. The results show that the plant height, the number of leaves, and harvest weight using the IoT RAFT system are 0.5897 cm/day, 0.6391 leaves/day, and 216.43 grams, respectively. We also compared the IoT RAFT system with a non-IoT bok choy growing method, and we concluded our IoT RAFT system has a better growth rate compared to the non-IoT bok choy growing method.