Artificial intelligence in animal farming: A systematic literature review

J Bao, Q Xie - Journal of Cleaner Production, 2022 - Elsevier
Some scientific researches have been conducted recently based on Artificial Intelligence
(AI) to solve animal welfare and health related problems. However, no review study was …

The quiet revolution in machine vision-a state-of-the-art survey paper, including historical review, perspectives, and future directions

ML Smith, LN Smith, MF Hansen - Computers in Industry, 2021 - Elsevier
Over the past few years, what might not unreasonably be described as a true revolution has
taken place in the field of machine vision, radically altering the way many things had …

Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning

C Chen, W Zhu, T Norton - Computers and Electronics in Agriculture, 2021 - Elsevier
The increasing demand for sustainable livestock products also demands new
considerations in animal breeding. Breeding programs are now seeking to integrate animal …

Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review

G Li, Y Huang, Z Chen, GD Chesser Jr, JL Purswell… - Sensors, 2021 - mdpi.com
Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …

[HTML][HTML] Physics informed machine learning: Seismic wave equation

S Karimpouli, P Tahmasebi - Geoscience Frontiers, 2020 - Elsevier
Similar to many fields of sciences, recent deep learning advances have been applied
extensively in geosciences for both small-and large-scale problems. However, the necessity …

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 …

Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect

M Cheng, H Yuan, Q Wang, Z Cai, Y Liu… - … and electronics in …, 2022 - Elsevier
The behavior of animals can reflect animal health status and physiological stages. Automatic
recognition of animal behavior can provide a powerful tool for improving the breeding …

Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL

L An, J Ren, T Yu, T Hai, Y Jia, Y Liu - Nature Communications, 2023 - nature.com
Understandings of the three-dimensional social behaviors of freely moving large-size
mammals are valuable for both agriculture and life science, yet challenging due to …

Automatic behavior recognition of group-housed goats using deep learning

M Jiang, Y Rao, J Zhang, Y Shen - Computers and Electronics in …, 2020 - Elsevier
Daily behavior is one important manifestation for health and welfare status of livestock. In
traditional behavior recognition methods, it was often mandatory to detect animal heads or …

An overview of the current trends in precision pig farming technologies

C Tzanidakis, P Simitzis, K Arvanitis, P Panagakis - Livestock Science, 2021 - Elsevier
Pig farming is one of the most technologically advanced and continuously growing
production sectors. As the pig herds grow larger and at the same time the number of farmers …