A SYSTEM AND METHOD FOR DISEASE DETECTION ON PLANT LEAVES USING A CONVOLUTIONAL NEURAL NETWORK

The present invention relates to a system and method for disease detection on plant leaves using a convolutional neural network. The Convolutional Neural Network (CNN) model can identify diseases on the leaves of plants. So, by using existing tools like TensorFlow and Keras to solve this real-world problem, chosen to implement a neural network using TensorFlow to detect different diseases on plant leaves. Hence, the Plant Village data set from Kaggle to build a CNN model using the TensorFlow framework. After this, train this CNN model on the Plant Village data set. After that, save the model in the ".h5" file and use this pretrained model to detect diseases on the leaves. The invention aims to provide a cost-effective and accessible solution for farmers to detect plant diseases, ultimately improving agricultural practices and crop yields.