Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

As the global human population increases, livestock agriculture must adapt to provide more
livestock products and with improved efficiency while also addressing concerns about …

In this paper, we provide a review of the research dedicated to applications of data science
techniques, and especially machine learning techniques, in relevant agricultural systems …

Livestock wearable technologies are innovations designed to ensure livestock health
management. However, the user aspect of these devices from farmers' perspective is still …

Abstract Precision Livestock Farming (PLF) is a concept that allows real-time monitoring of
animals, by equipping them with sensors that surge livestock-related data to be further …

Genomic breeding programs have been paramount in improving the rates of genetic
progress of productive efficiency traits in livestock. Such improvement has been …

Research on sustainable computing in agriculture has a great potential as an effective way
to solve most agricultural technology bottlenecks, save resource costs, and drive sustainable …

“Smart” or “precision” farming has revolutionized crop agriculture but its application to
livestock farming has raised ethical concerns because of its possible adverse effects on …

The incorporation of machine learning into healthcare has transformed the landscape of
disease detection, allowing for a paradigm shift from reactive to proactive approaches. This …

Simple Summary Machine learning (ML) offers new approaches for analyzing data and is
particularly interesting for large datasets. Dairy farmers implement a wide range of sensors …