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 …
(AI) to solve animal welfare and health related problems. However, no review study was …
[HTML][HTML] Digital livestock farming
S Neethirajan, B Kemp - Sensing and Bio-Sensing Research, 2021 - Elsevier
As the global human population increases, livestock agriculture must adapt to provide more
livestock products and with improved efficiency while also addressing concerns about …
livestock products and with improved efficiency while also addressing concerns about …
[HTML][HTML] The role of sensors, big data and machine learning in modern animal farming
S Neethirajan - Sensing and Bio-Sensing Research, 2020 - Elsevier
Ever since man began domesticating animals several thousand years ago, we have always
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
Industry 4.0 and precision livestock farming (PLF): an up to date overview across animal productions
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 …
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …
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 …
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
Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …
increasingly applied in animal farming to improve animal management, but current …
A review of deep learning algorithms for computer vision systems in livestock
In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
A systematic review on validated precision livestock farming technologies for pig production and its potential to assess animal welfare
Y Gómez, AH Stygar, IJMM Boumans… - Frontiers in veterinary …, 2021 - frontiersin.org
Several precision livestock farming (PLF) technologies, conceived for optimizing farming
processes, are developed to detect the physical and behavioral changes of animals …
processes, are developed to detect the physical and behavioral changes of animals …
Behavioral monitoring tool for pig farmers: Ear tag sensors, machine intelligence, and technology adoption roadmap
Simple Summary In a pig farm, it is challenging for the farm caretaker to monitor the health
and well-being status of all animals in a continuous manner throughout the day. Automated …
and well-being status of all animals in a continuous manner throughout the day. Automated …
[HTML][HTML] CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss
Cattle identification is crucial to be registered for breeding association, food quality tracing,
disease prevention and control and fake insurance claims. Traditional non-biometrics …
disease prevention and control and fake insurance claims. Traditional non-biometrics …