Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria

Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application machine learning identification and classification Muturu Keteku cattle species Nigeria was proposed mainstream model that enables precision intelligence perception animal husbandry for smart agricultural practice using enhanced mask region-based convolutional neural networks (mask R-CNN). A performance accuracy 0.92 mAP (mean Average Precision) achieved by R-CNN model, making it on par with existing models.