IDENTIFICATION AND DETECTION OF GROUNDNUT LEAF DIESEASE

COMPUTER SCIENCE AND ENGINEERING

Agricultural productivity is an issue that Indian Economy extremely depends on. This is often the one in all the explanations that malady detection in plants plays a very important role in the agriculture field, as having the malady in plants is quite natural. If correct care is not taken during this space, then it causes serious effects on plants and because of that various product quality, amount or productivity is affected. Detection of disease through some automatic technique is helpful because it reduces an oversized work of watching in huge farms of crops, and at a terribly early stage itself it detects the symptoms of diseases means that after they seem on plant leaves. Image features are extracted and it’s classified by using the Machine learning & Deep learning Classification. These extracted features are fed as input to the Extreme Learning Machine classifier to classify whether the Groundnut leaf disease is diseased or not. If disease is affected it belongs to which type either Anthracnose, Bud Necrosis, Tikka leaf Spot, Rust and also, we’ll find out the intensity of the disease and recommend the corresponding fertilizer for the type of groundnut leaf diseases.

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