Identification of disease using deep learning and evaluation of bacteriosis in peach leaf
Bacteriosis is one of the most common and devastating diseases for peach crops all over the
world. Timely identification of bacteriosis disease is necessary for reducing the usage of
pesticides and minimize loss of crops. In this proposed work, convolutional neural network
(CNN) models using deep learning and an imaging method is developed for bacteriosis
detection from the peach leaf images. In the imaging method, disease affected area is
quantified and an adaptive operation is applied to a selected suitable channel of the color …
world. Timely identification of bacteriosis disease is necessary for reducing the usage of
pesticides and minimize loss of crops. In this proposed work, convolutional neural network
(CNN) models using deep learning and an imaging method is developed for bacteriosis
detection from the peach leaf images. In the imaging method, disease affected area is
quantified and an adaptive operation is applied to a selected suitable channel of the color …
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