Implementation Of Plant Disease Detection Using CNN Algorithm

Abstract

This paper presents an android application to identify the plant by leaf using CNN and Machine learning techniques. The Application detects the crop and disease associated with the crops using Deep Learning. Plant identification based on the leaf is becoming one of the most popular and interesting trends nowadays. Each leaf carries unique information, which can be used for identification of plants. The paper aims to help farmers in agriculture field to improve their farming techniques leading to better crop yields as well as better stewardship of the environment. The early detection of disease in plants helps farmer to use appropriate pesticides so proper growth of the plants and yields can be improved. Computer vision has grown recently in the past few years with advent of Deep Learning algorithms. Convolutional neural networks have become the state-of-the-art algorithm for image detection and classification tasks. With the help of popular modern deep learning frameworks Keras,