Paper Title
Plant Disease Detection Using Image Processing and Machine Learning

Abstract
The proposed device helps in identification of plant illness and offers redress which will be used as a defence against the unwellness. The information obtained from the web is fascinating sequestered and therefore the one-of-kind plant species area unit known and area unit renamed to structure an acceptable information then deliver the goods test-database that consists of a variety of plant disease that area unit used for checking the accuracy and confidence level of the enterprise. Then the utilization of coaching jobs facts we are going to train our classifier and so output area anticipated and foremost accuracy. We tend to use a Convolutional Neural Network (FASTER CNN) that contains of distinctive layers that area used for prediction. This venture provides a way that detects ailments from plant leaf photos the usage of TensorFlow which is AN object detection API, and therefore the mannequin was trained for utilization of a faster RCNN methodology. The value of accuracy is in addition calculated. When vast education an exceptional sample of datasets, our information processing system learning approach learns frequently and might be simpler in detective work plant diseaseKey Words: RFID Technology, Petrol Dispensing System, Automatic Petrol Control, Petro Cards, Payment and security.