Identification of Cattle Breed using the Convolutional Neural Network
S. Manoj, S Rakshith, V Kanchana
Abstract
In order to identify cattle breeds according to their size and color, Cattle Identification techniques are used. Present techniques used for individual cattle breed prediction needs unique radio frequency, visual frequency or tagging of ear. To identify a cattle breed, we suggest identification using several image datasets of cattle's. An image of the cattle will be taken to get the prominent features of the front, rear and side view and these extracted features will be taken to identify each individual cattle with their information. Each image dataset will be processed and according to the processed image the cattle breed will be determined. Each cattle image will be pre-processed and after pre-processing of the images they will be categorized into their respective breed. A separate category of rare breeds of cattle's will be categorized using the pre-processed image dataset of the cattle breeds. CNN deep learning method is used in this work to recognize the face and different shapes in the whole body of the cattle image.