Raspberry PI for detecting and preventing the spread of plant diseases. The k-means clustering algorithm was used for image analysis. It has multiple focal points for use on huge crop farms and naturally distinguishes signs of disease wherever they appear on the leaves of the plant. Detection of leaf disease is essential and an important research topic in pharmaceutical research. This has the advantage of monitoring crops in the field and automatically detecting disease symptoms through image processing using the k-means clustering algorithm. The term disease refers to the type of damage to a plant. This document is the best for detecting plant infections using image preparation, alerting for diseases caused via email, SMS and displaying the name of the disease on the screen of the framework owner. Provides a strategy for. Automatic detection of disease symptoms helps upgrade agricultural products. The fully automated design and implementation of these technologies contributes significantly to chemical applications. Reduces the cost of pesticides and other products. This leads to improved agricultural productivity.
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Component List
- raspberry pi
- Webcam
- Powecupply
- Jumpers and wires
- SIM900a
- Button, Led etc
Features
- Detects the disease using image processing, to incerease the productivity of farmer
