Application and prospective discussion of machine learning for the management of dairy farms
M Cockburn - Animals, 2020 - mdpi.com
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 …
particularly interesting for large datasets. Dairy farmers implement a wide range of sensors …
Non-invasive methods of quantifying heat stress response in farm animals with special reference to dairy cattle
Non-invasive methods of detecting heat stress magnitude for livestock is gaining momentum
in the context of global climate change. Therefore, the objective of this review is to focus on …
in the context of global climate change. Therefore, the objective of this review is to focus on …
Real-time goat face recognition using convolutional neural network
Automatic identification of individual animals is an important step towards achieving
accurate breeding histories, significant contributions to breeding and genetic management …
accurate breeding histories, significant contributions to breeding and genetic management …
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming
Cow behaviour provides valuable information about animal welfare, activities and livestock
production. Therefore, monitoring of behaviour is gaining importance in the improvement of …
production. Therefore, monitoring of behaviour is gaining importance in the improvement of …
Using a CNN-LSTM for basic behaviors detection of a single dairy cow in a complex environment
D Wu, Y Wang, M Han, L Song, Y Shang… - … and Electronics in …, 2021 - Elsevier
The basic behaviors of dairy cows (drinking, ruminating, walking, standing and lying) are
closely related to their physiological health status. Consequently, intelligent behavior …
closely related to their physiological health status. Consequently, intelligent behavior …
Using pruning-based YOLOv3 deep learning algorithm for accurate detection of sheep face
S Song, T Liu, H Wang, B Hasi, C Yuan, F Gao, H Shi - Animals, 2022 - mdpi.com
Simple Summary The identification of individual animals is an important step in the history of
precision breeding. It has a great role in both breeding and genetic management. The …
precision breeding. It has a great role in both breeding and genetic management. The …
A machine vision-based method for monitoring broiler chicken floor distribution
The proper spatial distribution of chickens is an indication of a healthy flock. Routine
inspections of broiler chicken floor distribution are done manually in commercial grow-out …
inspections of broiler chicken floor distribution are done manually in commercial grow-out …
A deep learning method for monitoring spatial distribution of cage-free hens
The spatial distribution of laying hens in cage-free houses is an indicator of flock's health
and welfare. While larger space allows chickens to perform more natural behaviors such as …
and welfare. While larger space allows chickens to perform more natural behaviors such as …
Through-wall human pose reconstruction via UWB MIMO radar and 3D CNN
Human pose reconstruction has been a fundamental research in computer vision. However,
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot …
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot …
Comparing state-of-the-art deep learning algorithms for the automated detection and tracking of black cattle
S Myat Noe, TT Zin, P Tin, I Kobayashi - Sensors, 2023 - mdpi.com
Effective livestock management is critical for cattle farms in today's competitive era of smart
modern farming. To ensure farm management solutions are efficient, affordable, and …
modern farming. To ensure farm management solutions are efficient, affordable, and …