A Novel Scheme for Papaya Fruit Disease Prediction and Classification using Convolutional Neural Networks

Purpose:Many research efforts have been offered in recent years to assist farmers in recognizing papaya infections, which has a significant advantage in the machine learning field.Method:Using a CNN algorithm, we will determine which condition is effective and offer the appropriate medication to cure that ailment, allowing us to take the essential actions on time.Result:In the CNN algorithm, we are using Inception as the key architecture. By using inception, we can get approximately 97% of accuracy.