Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI
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Updated
Jul 31, 2024 - Python
Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI
This Django-based REST API facilitates the detection of diseases on plant leaves, aiding in the identification of leaf diseases.
Master thesis project
An Open Source Disease Detection Platform for Microimaged Plant Phenotypic Characteristics (Currently for Tomato, Cucurbit, and Grape)
Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.
An application that for farmers to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the plant to the server where it is analysed using CNN classifier model. Once detected, the disease and its solutions are displayed to the user
A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input
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