Key points are not available for this paper at this time.
Abstract This study investigates the transformative role of Artificial Intelligence (AI) technologies in the agricultural sector, specifically focusing on their applications in enhancing animal welfare, health monitoring, and productivity. Over the last decade, advancements in AI, including machine learning, Internet of Things (IoT) systems, computer vision, and sensor technologies, have significantly enhanced livestock management across various species, including poultry, pigs, dairy cows, sheep and rodents. The study synthesizes findings from literature published between 2010 and 2022, highlighting how AI solutions facilitate comprehensive environmental monitoring, enable early disease detection, and support behavioral analysis, thereby optimizing production metrics and promoting better animal welfare practices. By employing the Technology Readiness Levels (TRL) framework, the review categorizes these technologies according to their developmental stages, from prototype to operational use, underscoring their increasing integration into commercial farming. Furthermore, the paper discusses the broader implications of AI adoption, including economic benefits, compliance with welfare standards, and sustainability objectives. The insights presented emphasize the need for continued research and innovation to fully harness AI’s potential in advancing animal management strategies and addressing the growing global demand for animal products. Overall, the findings confirm that AI technologies have demonstrated effectiveness in improving animal welfare, health monitoring, and productivity across diverse species and farming contexts.
Sztandarski et al. (Sun,) studied this question.