Abstract
This study aims to develop an android application to detect and identify plant diseases through deep convolutional neural network. Plant disease is a critical issue in agricultural countries like Bangladesh. Every year, production of crops sustains heavy loss due to diseases. It is quite difficult to detect plant diseases with human eyes. So it is essential to build an automated system to detect the diseases. The proposed disease detection model takes an image of a plant leaf as input, processes it, and uses deep convolutional neural network to detect and identify the disease. The model is trained with a large dataset of 54,305 images consisting of 14 different species and 26 different diseases. The trained model is lightweight and is used to build an android application. The application also provides solutions based on detected disease. The developed mobile application is user friendly and can be used by farmers without much technical knowledge.
Published Version
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