Crop Identification by using Real Time Object Detection

Computer vision techniques have been used in every field nowadays and find a wide range of application in agriculture field too due to their fast response and high accuracy.Several applications of computer vision are self-driving cars, the camera of the mobile phones and detection of faces.One of the most popular techniques in computer vision is real time object detection, it is not difficult in humans but for machines difference between main objects and other objects has to be trained.In this paper deep learning is used for detecting and identifying crops using YOLO (You Only Look Once) approach.For recognition and detection of crops, effective training needs to be carried out.The prime reason for using YOLO algorithm is that it looks the image completely by outlining the bounding regions of objects to be detected.