SMART INDOOR GREENHOUSE MONITORING SYSTEM USING INTERNET OF THINGS

Abstract

Growing indoor plants is an intricate task that needs a lot of attention to ensure healthy houseplants besides producing a good amount of yield. Many parameters including soil moisture and environment parameters such as humidity, temperature and light intensity need to be monitored for the healthy growth of the plant, hence requires a lot of effort. However, with the advancement in the Internet of Things technology, monitoring these parameters can be done without human intervention. Therefore, this work proposed a solution that creates a favourable environment for the plant using an Internet of Things-based system by monitoring the soil moisture and environment parameters such as humidity, temperature, and light intensity where these data will be uploaded to the cloud server for monitoring purposes. Besides, considering the tight schedule of most users, the system is integrated with an automatic watering, cooling and lighting system which will operate based on the monitored data. In this work, a microcontroller unit (MCU) is used to control the systems and a UBIDOTS server is used to perform the data logging system. A testbed experiment has been conducted for four weeks, and the results show that the proposed system has high reliability. Besides, the results also show that the height of the plant is increasing during the four weeks duration, hence showing that the system is working effectively even without human intervention.