IoT — Based Aeroponic System for Seasonal Plants using Fuzzy Logic

Indoor gardening becomes a trend to farmers, which they plant their Seasonal Plants or crops on a certain greenhouse environment that has been modified to accommodate the crops need. But indoor farming has its disadvantages, maintaining the environment and monitoring it time-to-time just to check the environment and health of the plant is needed. Concerning this, the researchers proposed a system that can cultivate different seasonal plants indoor and does automatic functionalities efficiently depending on the readings of the sensors, which gives plant a more suitable environment. This system also has an Internet of Things (IoT) characteristic which farmers can monitor and control the system via Internet; this could help the farmers invest in a more compact and efficient aeroponic system, it will help them in farming. The study's fundamental purpose is to develop a machine learning aeroponic system that outputs functions based on the range of the intensity readings of the environment using machine learning and predict the intensity of the task that will be done in the system using Fuzzy Logic Algorithm. The result shows that the lettuce and broccoli doesn't show any significant difference, while the strawberry has a significant difference result in terms of its growth. Based on the evaluation of Fifty users and ten experts that inspected the design project, the acceptability of the project is 82.34%. Based on the results, the prototype can sustain seasonal plant's life and growth, and provide a more efficient and easier-to-use aeroponic system.