ABSTRACT
Plant leaf diseases can affect plant leaves to a certain extent that the plants can collapse and die completely. These diseases may drastically decrease the supply of vegetables and fruits to the market, and result in a low agricultural economy. In the literature, different laboratory methods of plant leaf disease detection have been used. These methods were time consuming and could not cover large areas for the detection of leaf diseases. A novel way of training and methodology was used to expedite a quick and easy implementation of the system in practice. The developed model was able to recognize different types of Corn leaf diseases out of healthy leaves, Corn Leaf Blight, Common Rust and Corn Leaf Spot diseases were chosen for this study as they affect most parts of Corn Plant. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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