The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence

S Fuentes, CG Viejo, E Tongson… - Animal Health Research …, 2022 - cambridge.org
Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

[HTML][HTML] The significance and ethics of digital livestock farming

S Neethirajan - AgriEngineering, 2023 - mdpi.com
The emergence of precision and digital livestock farming presents an opportunity for
sustainable animal farming practices that enhance animal welfare and health. However, this …

A review of deep learning algorithms for computer vision systems in livestock

DAB Oliveira, LGR Pereira, T Bresolin, REP Ferreira… - Livestock Science, 2021 - Elsevier
In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …

[HTML][HTML] Digital twins in livestock farming

S Neethirajan, B Kemp - Animals, 2021 - mdpi.com
Simple Summary A digital twin can be described as a digital replica of a real-world entity. It
simulates the physical state and maybe the biological state and behavior of the real-world …

Big data analytics and precision animal agriculture symposium: Machine learning and data mining advance predictive big data analysis in precision animal agriculture

G Morota, RV Ventura, FF Silva… - Journal of animal …, 2018 - academic.oup.com
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the
domains of management, production, welfare, sustainability, health surveillance, and …

[HTML][HTML] An imperative role of digitalization in monitoring cattle health for sustainability

D Singh, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Electronics, 2022 - mdpi.com
In the current context, monitoring cattle health is critical for producing abundant milk to
satisfy population growth demand and also for attaining sustainability. Traditional methods …

[HTML][HTML] Industry 4.0 and precision livestock farming (PLF): an up to date overview across animal productions

S Morrone, C Dimauro, F Gambella, MG Cappai - Sensors, 2022 - mdpi.com
Precision livestock farming (PLF) has spread to various countries worldwide since its
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …

[HTML][HTML] Artificial intelligence and sensor innovations: enhancing livestock welfare with a human-centric approach

S Neethirajan - Human-Centric Intelligent Systems, 2024 - Springer
In the wake of rapid advancements in artificial intelligence (AI) and sensor technologies, a
new horizon of possibilities has emerged across diverse sectors. Livestock farming, a …

A review of traditional and machine learning methods applied to animal breeding

S Nayeri, M Sargolzaei, D Tulpan - Animal health research reviews, 2019 - cambridge.org
The current livestock management landscape is transitioning to a high-throughput digital era
where large amounts of information captured by systems of electro-optical, acoustical …

[HTML][HTML] Exploring the potential of precision livestock farming technologies to help address farm animal welfare

J Schillings, R Bennett, DC Rose - Frontiers in Animal Science, 2021 - frontiersin.org
The rise in the demand for animal products due to demographic and dietary changes has
exacerbated difficulties in addressing societal concerns related to the environment, human …