Predicting the Cattle Production Parameters Through Deep Learning Approach: A Review

The requirement of image processing is very much required on the present world. Almost in every field it has a huge application. Detecting and recognizing the face is one of the most trending image processing systems as it is mostly used for the authentication process to identify specific person etc. Along with face detection now-a-days understanding emotions also plays a vital role. These all processing's are not only required in humans but also in animals in order to understand the emotions of them. In this paper, we have endured through various technical papers which have different methods or algorithms used for detecting and recognizing the face and also for detecting the emotions. These reviews helped us in finding the best algorithm in deep learning perception for cattle face detection and recognition and also understanding the emotions so that we can improve the production parameters of cattle which include production of milk, good yield in agricultural land etc.