Keywords : Precision farming

Animal board invited review: Quantification of resilience in farm animals

M. Taghipoor, M. Pastell, O. Martin, H. Nguyen Ba, J. van Milgen, A. Doeschl-Wilson, C. Loncke, N.C. Friggens, L. Puillet, R. Muñoz-Tamayo

Published in 2023

Scientific article on the detection and quantification of the responses of farm animals to changes in their environment as a means to classify them individually according to their level of resilience. To this purpose, the authors analyze the use of different modeling approaches to data generation from high-throughput recordings.

Document Types: Scientific paper

Category of animals: Bovines, Caprines, Ovines, Porcines

Keywords:Animal-based measurements, Precision farming, Welfare indicators, Modelling, Resilience, Stress

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Deciphering Avian Emotions: A Novel AI and Machine Learning Approach to Understanding Chicken Vocalizations

Adrian Cheok, Jun Cai, Ying Yan

Published in 2023

Scientific paper on the development of a system based on artificial intelligence and machine learning to identify different emotional states in chickens on the basis of their vocalizations, including hunger, fear, anger, contentment, excitement and distress, with a view to improving human-animal relationships.

Document Types: Scientific paper

Animal categories: Poultry

Keywords:Animal-based measurements, Precision farming, Welfare indicators, Human-animal relationships, Stress, Vocalisation

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Farmers' Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors

Idan Kopler, Uri Marchaim, Ildikó E. Tikász, Sebastian Opaliński, Eugen Kokin, Kevin Mallinger, Thomas Neubauer, Stefan Gunnarsson, Claus Soerensen, Clive J. C. Phillips, Thomas Banhazi

Published in 2023

Scientific review of the acceptability to farmers of operational principles and technological solutions designed improve both animal and human welfare in the pork and poultry industries.

Document Types: Scientific review

Animal categories: Porcines, Poultry

Keywords:Animal-based measurements, Precision farming, Welfare indicators, One Welfare

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Recognition of aggressive behavior of group-housed pigs based on CNN-GRU hybrid model with spatio-temporal attention mechanism

Yue Gao, Kai Yan, Baisheng Dai, Hongmin Sun, Yanling Yin, Runze Liu, Weizheng Shen

Published in 2023

Scientific article proposing a model for automatic video recognition of aggressive behavior in group-housed pigs, with an accuracy rate of 94.8%.

Document Types: Scientific paper

Animal categories:Pigs, Primates

Keywords:Aggression, Aggressiveness, Animal-based measurements, Precision farming, Welfare indicators, Personality, Stress

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A two-stage recognition method based on deep learning for sheep behavior

Zishuo Gu, Haoyu Zhang, Zhiqiang He, Kai Niu

Published in 2023

Scientific article on a method to detect sheep behavior based on deep learning. It recognizes six types of sheep behavior, three corresponding to normal physiological activities (standing, feeding and lying down) and three behaviors considered to be disruptive (attacking, biting and climbing) that require immediate action from the farmer.

Document Types: Scientific paper

Animal categories: Ovines

Keywords:Animal-based measurements, Precision farming, Welfare indicators, Human-animal relationships

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Deviation of behavioural and productive parameters in dairy cows due to a lameness event: a synthesis of reviews

Luisa Magrin, Barbara Contiero, Giulio Cozzi, Flaviana Gottardo, Severino Segato

Published in 2023

Systematic literature review identifying the behavioral and yield parameters of cows that are the best indicators of lameness and calculating the changes in them during lameness episodes. They include time taken to feed, number of lying periods, time taken to lie down, time spent lying down,  and milk production. The values of all these parameters are significantly altered in the event of lameness, and could be used to detect lameness automatically.

Document Types: Scientific review

Animal categories: Bovines

Keywords: Animal-based measurements, Pain, Precision farming, Welfare indicators

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Analysis of Various Facial Expressions of Horses as a Welfare Indicator Using Deep Learning

Su Min Kim, Gil Jae Cho

Published in 2023

Article using deep learning to identify various facial expressions that can be used as indicators of welfare in horses. It proposes a model for the automatic recognition of facial expressions including the eyes, nose and ears, to identify horses in various situations: at rest, in pain, immediately after exercise and during shoeing.

Document Types: Scientific paper

Animal categories: Equines

Keywords:Animal-based measurements, Castration, Pain, Precision farming, Welfare indicators, Sterilization

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Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data

S. Benaissa, F.A.M. Tuyttens, D. Plets, L. Martens, L. Vandaele, W. Joseph, B. Sonck

Published in 2023

Scientific paper presenting an effective method to integrate in-building ultra-wideband (UWB) location and accelerometer data, thereby improving cattle behavior monitoring systems.

Document Types: Scientific paper

Animal categories: Bovines

Keywords:Animal-based measurements, Precision farming, Microbiota, Welfare indicators

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Visual perception of emotion cues in dogs: a critical review of methodologies

Catia Correia-Caeiro, Kun Guo, Daniel S. Mills

Published in 2023

Scientific review revealing that research on the visual perception of emotions in dogs focuses on facial emotional cues, often ignoring whole-body information, and pointing to the interpretive errors that can arise as the result of poor study design and incorporation of biases such as anthropomorphism. It suggests that new technologies nevertheless offer a way to resolve data collection issues, offering useful perspectives in this area of study.

Document Types: Scientific review

Animal categories:Canine

Keywords:Animal-based measurements, Precision farming, Human-animal relationships

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Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods

Franziska Hakansson, Dan Børge Jensen

Published in 2023

Scientific paper developing computer visualization methods for the early detection of tail biting in pigs. The authors use a convolutional neural network to extract spatial data, combined with secondary networks to take account of temporal data.

Document Types: Scientific paper

Animal categories: Porcines

Keywords:Animal-based measurements, Precision farming, Societal issues, Mutilation, Stress

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