Abstract
This study engaged the convolutional neural network in curbing losses in terms of resources that farmers spends in treating animals where injuries must have emancipated from violence among other animals and in worst case scenario could eventually lead to death of animals. Animals in a ranch was the target and the study proposed a method that detects and reports activities of violence to ranchers such that farmers are relieved of the stress of close supervision and monitoring to avoid violence among animals. The scope of the study is limited to violence detection in cattle, goat, horse and sheep. Different machine learning models were built for each animal. The models yielded good results; the horse violence detection model had an outstanding performance of 93% accuracy, 93% accuracy for the sheep model, 88% accuracy for the goat model and 84% accuracy for the cattle model.
Highlights
Man's understanding of his environment and how to make living in the world easier with less stress has led to amazing and evolutionary discoveries over the century
This technology has application in various aims to develop a violence detection system spheres like automotive, healthcare, agriculture, that will notify ranchers in an event of a fight among banking, security etc. but here we will see how it can be ranch animals
The proposed low-level features are the Local Histogram of Oriented Gradient (LHOG) descriptor extracted from RGB images and the Local Histogram of Optical Flow (LHOF) descriptor extracted from optical flow images
Summary
Man's understanding of his environment and how to make living in the world easier with less stress has led to amazing and evolutionary discoveries over the century. Image and video inputs are collected by devices such as cameras and received by a computer Animals get into fights with one another for reasons which vary from competition for a food, mate, space or sometimes no reason at all[7]. These fight most of the time leads to serious damages ranging from bruises, cuts, bites, mutilation and even death. This technology has application in various aims to develop a violence detection system spheres like automotive, healthcare, agriculture, that will notify ranchers in an event of a fight among banking, security etc. This technology has application in various aims to develop a violence detection system spheres like automotive, healthcare, agriculture, that will notify ranchers in an event of a fight among banking, security etc. but here we will see how it can be ranch animals
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