Machine Learning Based Automatic Leaf Diseases Detection

The method for applying machine learning to automatically detect leaf diseases is presented in this paper. A convolutional neural network was used extract pertinent features from image datasets that included healthy and diseased leaves. dataset compiled pre-processed. Accuracy, precision, recall measures were assess the algorithm after it had been trained on labeled dataset. According findings, very precise recallable its ability illnesses, making a potential practical use. This strategy may help with early disease identification prevention, increasing crop productivity lowering demand toxic pesticides. Here we are identifying Bacterial spot, Early blight.