Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)

Deep Learning (Computer Engineering)

India is a agricultural country, most of the people here are farmers. Still farmers are not able to increase their income, productivity due to different types of diseases in plant. It has a negative impact on farming. Now a days number of diseases are increased, so identifying the name of disease is one of the challengefor farmers. If plant diseases are not discovered in early stage, then this can harm crop in large extent, so we need to create a system which can easily identify the name of disease. And also, in India most of the farmers are not educated so we also required to create a simple user interface either by using web development or by using Android app development.Usually, plant’s leaf is primary source for identifying the name of the disease, so we required to create a CNN model which can easily identify the name of the disease by scanning the photo of leaf. If farmers are able to identify the disease in the early stage,they can take required action and loss of production can be reduced.

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