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Detection of Disease in Cotton Leaf using Artificial Neural Network


Class Agnostic Image Common Ob
Abstract


: The main purpose of farming is to yield healthy crops without any disease present. It is very difficult to visually presume the health of cotton leaf. To overcome this problem, a machine learning based approach is proposed which can assess the image of the leaf of the plant and detect the disease and the quality of the cotton plant using machine learning approach. The main approach of the research is to detect the different diseases of cotton by applying artificial neural network tool, which apply image pre-processing method to process the image and based on colours changes on the image the main portion of the affected leaf is highlighted and detect the type of disease based on data.

KeyWords
: Cotton plant, ANN (Artificial Neural Network), machine learning, t-test, image processing.



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