An IoT controlled system for plant growth

Abstract

© 2018 IEEE. This project aims to provide controllable environment for measuring and supporting plant growth by applying the Internet of Things technology and scientific experimental process together in order to improve farmers' performance of growing plants. Traditionally, farmers grow plants based on their experience and local knowledge from ancestors or friends without scientific methods. The plant production outputs depend largely on farm conditions such as air temperature, air humidity, light intensity, and soil moisture. Inappropriate farming conditions can lead to poor production output. It is necessary to measure, understand, and control farm conditions precisely in order to predict the performance of farming. We propose an IoT controlled system for plant growth in order to support these tasks. The system consists of two major components: (1) hardware consisting of air, light intensity and soil moisture sensors and actuators such as relay, motor gear dc, and water pump which are connected and controlled by microcontrollers. (2) management software consisting of dashboard for sensors data visualization and monitoring, and actuators control for adjusting farming conditions. The control could be operated manually or automatically using rule-based control based on the collected plant growth information in the system plant growth database. User can monitor and control air temperature, air humidity, light intensity, and soil moisture through our system user interface.