Smart Greenbox Design for Indoor Horticulture

Indonesia is an agrarian country where most of the population is engaged in agriculture. One of the biggest commodities in Indonesian agriculture is the cayenne pepper. Cayenne pepper is a commodity with the highest level of production and demand every year. However, cayenne pepper is a plant that is prone to crop failure. The biggest causes are climate change and lack of knowledge about the parameters that mostly affect the growth of cayenne pepper plants. Therefore, this study aims to help horticulture enthusiasts plant and grow cayenne pepper plants using Smart Greenbox. The Smart Greenbox measures several parameters that affect the growth of a plant, including temperature, humidity, light intensity inside the box, and moisture with the pH level of the soil. All the data measurements will be sent to the IoT cloud so other Smart Greenbox can learn from each other. To help the learning process, a website and growth prediction model using machine learning will be a delivered solution to obtain the most dominant parameters to give optimal growth. The historical data measurement is also stored and displayed on the website to provide feedback for the user to monitor the plant's growth. The overall system test result reports that the device can run optimally 24/7 for 45 days while sending data to Google Firebase every 5 minutes. The website for dashboard functionality can display all information regarding the Cayenne Pepper plant inside the Smart Greenbox.