Machine Learning and Sensor Roles for Improving Livestock Farming Using Big Data

A multi-user peer-to-peer relay network with a multi-channel system was examined for relay beam design. MU-MIMO solves the challenge of limiting the maximum power consumption per relay while maintaining minimal SNR. It has the potential to change the way we think about animal agriculture. On a broader scale, As a result of this research, animal producers may produce more meat and other animal products by utilising sensor technology. Sensors, big data, AI, and ML are used to help animal farmers decrease production costs, improve efficiency, improve animal welfare, and produce more animals per hectare. It also discusses the limits of devices. Various uses of animal farming devices are examined in order to see whether they may assist farmers enhance animal health, boost profitability, and reduce their environmental effect. To increase animal husbandry efficiency, we employ the Decision Tree algorithms, Support Vector Machine (SVM) and k-means.