Article
A Survey Paper on Plants Using IOT
In This Article, Automated system and different taxonomies, the growth of the plant can be monitored. This type of information will be useful to farmers, botanists, and food engineers. In this article we combine Image Processing and the Internet of Things to monitor plant growth and collect climatic factors such as humidity and temperature. In image processing, there is a recognition system that detects the growth of plants using the images of their leaves, so the use of pesticides can be controlled. The system compares the image with those in the database, executing the pre-processing and feature extraction technique to obtain possible matches. In this method we extract the color, texture and shape of the leaf. Based on pattern recognition, a leaf can be identified as healthy or unhealthy. The first sensors are activated, with the help of the cameras, the image is captured and stored for future improvements. After identifying crop diseases using the various imaging techniques, alerts can be sent to farmers. The farmer can see the status of his field even sitting at home using web or mobile applications.
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