Implementation of IoT with Image processing in plant growth monitoring system

An automated system for monitoring the growth of plant can be done with appropriate taxonomies. Such kind of information can be useful for formers, botanists, industrialists, food engineers and physicians. This work combines Image Processing and IoT to monitor the plant and to collect the environmental factors such as humidity and temperature. In image processing, a recognition system capable of identifying plants by using the images of their leaves has been developed and with the help of the images use of pesticides can be controlled. The system runs pre-processing and feature extraction techniques on the image before a pattern matcher compares the information from this image with the ones in the database in order to get potential matches. The different features that are extracted and compared are the color, texture and shape of the leaf. Based on the pattern recognition a leaf can be identified as healthy or deceased. Here we combine IoT and Image processing. In addition, our system is simple to use, fast and highly scalable.