ENHANCEMENT OF COW BOVINE'S PERFORMANCE USING THE SOLOTRACK REGRESSION ALGORITHM

Abstract

A crucial aspect of the supply of goods for human use is provided by the dairy industry. In order to maximize milk production and the general health of the herd, it is crucial to improve dairy cattle performance. The Solo Track regression approach is applied in this study to enhance the performance of dairy cattle. Solo Track, a novel algorithm developed for this purpose, aims to analysis various factors influencing cattle performance and predict outcomes such as body temperature, stress, heart rate, milk production, disease identification and etc. The difficulty of early detection and handling of cows that are affected by disease is caused by monitoring the condition of cows. This IOT technology is helpful in accurately diagnosing the diseases that may occur in cows and solving those diseases. Comprehensive data gathering, including details on feed composition, normal parameters that are and health measures, is part of the scope of work. To find the primary factors influencing the performance of dairy cattle, feature selection is carried out after the data has been pre- processed to ensure its quality and

relevance. After that, the dataset is used to select and train the Solo Track regression method, which makes use of sophisticated techniques to capture complex relationships between input features and desired results. To determine how well the trained model can predict outcomes and generalize to new data, it is carefully evaluated. To maximize the performance of the algorithm, fine-tuning is applied depending on evaluation outcomes. The Solo Track regression method is used in real-world dairy farming situations after it has been verified. It provides a data-driven strategy to improve milk output, health care, and overall industry efficiency. By introducing a unique regression technique designed for dairy cattle performance enhancement, this research advances the rapidly developing field of precise agriculture. The results have importance for stakeholders, researchers, and farmers looking for creative ways to enhance dairy operations, advance animal welfare, and satisfy the growing demand for dairy products worldwide.