IoT System for Greenhouse Monitoring

This paper presents the implementation of an automated system that can monitor environmental and plant parameters in a greenhouse. A series of sensors connected to a Raspberry Pi collected temperature, air humidity, and atmospheric pressure parameters. Plant monitoring is done through a high-quality Raspberry Pi camera with a wide lens and a near-infrared (NIR) filter. The fusion of visible and near-infrared images calculates the Normalized Difference Vegetation Index (NDVI) to study plant health. A sliding assembly with X-axis movement allows image capture for multiple plants. The movement is done using a stepper motor controlled by the Arduino Uno development board. The entire system is remotely controllable via the IoT Greenhouse web application. Access to the application is conditioned by authentication, thus protecting the collected data.