Precision Feed Management with Automation Technology to Optimize the Growth and Health of Beef Cattle

Abstract

This study investigates the integration of precision feed management and automation technology in optimizing beef cattle growth, health, and overall productivity. Utilizing a qualitative research approach, this literature review synthesizes findings from recent studies to explore the role of automated systems, such as automated feeders and health monitoring technologies, in enhancing feed efficiency, cattle welfare, and environmental sustainability. The review identifies key benefits of automation, including precise feed delivery, early disease detection, and improved resource use efficiency. Despite these advantages, the study highlights challenges such as high initial costs, the need for technical expertise, and barriers to adoption, particularly for small-scale farms. Furthermore, the research underscores the potential of artificial intelligence and machine learning in enhancing the precision and responsiveness of automated feed management systems. The findings contribute to a broader understanding of how automation can address the growing demand for sustainable beef production while improving animal health and farm profitability. This study concludes by recommending future research to develop cost-effective, scalable automation systems and assess their long-term economic and environmental impacts on beef cattle farming.