Artificial intelligence in animal farming: A systematic literature review

J Bao, Q **e - 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 …

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 …

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

SM Kasongo, Y Sun - Computers & Security, 2020 - Elsevier
In the past decade, wired and wireless computer networks have substantially evolved
because of the rapid development of technologies such as the Internet of Things (IoT) …

Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation

Y Qiao, H Kong, C Clark, S Lomax, D Su… - … and electronics in …, 2021 - Elsevier
There has been an increasing demand for animal protein due to several factors such as
global population growth, rising incomes, etc. However, farming productivity is stagnating …

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 …

A novel gas turbine fault diagnosis method based on transfer learning with CNN

S Zhong, S Fu, L Lin - Measurement, 2019 - Elsevier
A transfer learning method based on CNN and SVM is investigated for gas turbine fault
diagnosis. The excellent classification ability of CNNs is attributed to their ability to learn rich …

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 …

Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming

Y Qiao, M Truman, S Sukkarieh - Computers and Electronics in Agriculture, 2019 - Elsevier
In precision livestock farming, computer vision based approaches have been widely used to
obtain individual cattle health and welfare information such as body condition score, live …

IoT technologies for livestock management: a review of present status, opportunities, and future trends

BI Akhigbe, K Munir, O Akinade, L Akanbi… - Big data and cognitive …, 2021 - mdpi.com
The world population currently stands at about 7 billion amidst an expected increase in 2030
from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to …

A systematic literature review on deep learning applications for precision cattle farming

MS Mahmud, A Zahid, AK Das, M Muzammil… - … and Electronics in …, 2021 - Elsevier
In animal agriculture, deep learning-based approaches have been widely implemented as a
decision support tool for precision farming. Several deep learning models have been …