Different Plant Disease Detection and Pest Control Techniques Using Image Processing

Abstract

Abstract: Tomato is one of the most important fruit vegetable in our daily life. 80% of kitchens uses Tomato. but there are some diseases and some disorders on the tomato plant. To overcome this problems many of technologies are used. Such as image processing , feature extraction ,feature classification are used as traditional method, also the end to end structure is used to simplified recognition process and overcome problems. Here we are using the deep learning method for object detection .it saves time and effort .also it gives the accuracy to reduce the huge losses caused by diseases and pest.in deep learning method Convolutional Neural Network (CNN) is used. the datasets are the real images of tomato plants are taken. Through the above research the identification and detection of disease of tomato plant is quickly done. It is an engineering application for plant disease detection and pest control.