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 …
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
management practices and the health and welfare of livestock through monitoring individual …
Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN)
Highlights•Top head image is used as Region of Interest for dairy cow individual
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …
[HTML][HTML] Accelerometer systems as tools for health and welfare assessment in cattle and pigs–a review
JM Chapa, K Maschat, M Iwersen, J Baumgartner… - Behavioural …, 2020 - Elsevier
Welfare assessment has traditionally been performed by direct observation by humans,
providing information at only selected points in time. Recently, this assessment method has …
providing information at only selected points in time. Recently, this assessment method has …
Large-scale phenotyping of livestock welfare in commercial production systems: a new frontier in animal breeding
Genomic breeding programs have been paramount in improving the rates of genetic
progress of productive efficiency traits in livestock. Such improvement has been …
progress of productive efficiency traits in livestock. Such improvement has been …
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 …
Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions
Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …
rich insights into animal physical and mental states. Automated animal activity recognition …
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 …
Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors
Accelerometers (neck-and leg-mounted) and ultra-wide band (UWB) indoor localization
sensors were combined for the detection of calving and estrus in dairy cattle. In total, 13 …
sensors were combined for the detection of calving and estrus in dairy cattle. In total, 13 …
[HTML][HTML] Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms …
Development of a methodological framework for a robust prediction of the main behaviours of
dairy cows using a combination of machine learning algorithms on accelerometer data …
dairy cows using a combination of machine learning algorithms on accelerometer data …