Plenary session. “Inspiring AI: from health care to livestock farming”
- AI for Healthcare: a multimodal perspective T. Sutter
- AI-Driven Pathways for Intelligent Disease Diagnosis in Livestock Animals C. Wang
- AI for Scientists: Perception, Reasoning, & Discovery J. J. Sun
- Intelligent Control and Robotics for Precision Livestock Farming C. Sun
Theatre Session A. “Ethics and Industry Adoption of AI in Animal Science: Addressing practical implications and challenges, including bias and data ownership, as well as industry implementations of AI”
- Animals: the forgotten stakeholders in AI ethics discourses? M. F. Giersberg
- Stakeholder views on enhancing calf welfare using AI technologies: outcomes from a design-thinking workshop L. Palczynski, D. Rose, H. Vickery, L. Morgans, J. Sharpe, C. Carlton, I. Mccormick, E. Bleach
- A Collaborative Journey: Developing AI tools to reduce unnecessary animal suffering L. Schumacher, C. Morales
- Virtual herding for real animals: on the ethical dimensions of virtual fencing and herding D. Reisman, F. Meijboom
- Call for machine learning guidelines for precision livestock farming M. Pastell, H. Fred, T. Norton, B. Aernouts, M. Taghipoor, P. J. De Temmerman, J. Maselyne
- Precision poultry farming – experiences based on practical application of Artificial Intelligence M. Alexy, G. Toth
- Digital Phenotyping System for Precision Livestock Farming: From Image to Insight G. Manafiazar, A. Rahvar, R. Sabbagh
- Establishing the foundations for a research organisation to leverage AI in animal science M. Neal, J. Jago
- Monitoring pig welfare using image classification of pig tails W. Ubbink, E. Van Der Vaart, N. Ursinus, H. Vermeer, J. Bode
- Use of sensors, vision technology and AI to assess animal welfare, carcass and meat quality in a pig production chain and processing plant R. Klont, E. Kurt, M. Bouwknegt
- ADAL: Advancing Real-Time Lesion Scoring in Slaughterhouses Using Computer Vision A. Capobianco Dondona, M. Momeny, R. D’Alterio, E. Del Negro
- Validation of Computer Vision Systems for Detecting Meat Inspection Findings Using Latent Class Modelling L. Alban, D. Hjorth Lund, C. Hansen, A. Dalsgaard, M. Denwood, A. Olsen
Poster Session A.
A.01 Overcoming Data Limitations in Animal Genetics with GAN-Based Synthetic Genotypes S. Xie, B. Hanczar, J. Chiquet, E. Barrey
A.02 3D Visual Reconstruction-Based Method for Comprehensive Morphological Scoring of Dairy Cows Q. Yu, Q. Li, R. Gao, W. Ma, W. Qian
A.03 Application of artificial intelligence in livestock genomics: combining random forest and Boruta algorithm to identify informative single nucleotide polymorphisms across pig breeds G. Schiavo, S. Bovo, F. Bertolini, M. Bolner, A. Ribani, V. Taurisano, G. Galimberti, M. Gallo, L. Fontanesi
A.04 Exploring the animal molecular phenome with machine learning algorithms: mining the plasma metabolome to describe differences between breeds S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, A. Ribani, M. Gallo, S. Dall’Olio, L. Fontanesi
A.05 Analysing environmental factors affecting dairy sheep milk production using machine learning algorithms on a large dataset E. G. Ramirez Cabrera, J. C. Angeles-Hernandez, A. Lizarazo-Chaparro, C. Palacios-Riocerezo, F. Ugalde-Ubaldo, J. Vera-Garfias, A. Villegas-Jiménez
A.06 Virtual Screening for Methane Emission Mitigation in Ruminants S. Zhu, G. Foggi, R. Peng, S. Riniker, M. Niu
A.07 Why we should reconsider our ethograms before attempting to automate behaviour analysis P. Savary, S. P. Brouwers
A.08 Associations between heat load, milk yield and cow behaviour on New Zealand dairy farms C. Reed, G. Chambers, J. Jago, P. Edwards, K. Verhoek
A.09 Beyond Respiration Chambers: A Field-Deployable Device for Continuous Methane Emission Measurement in Cattle R. Bica, N. Coetzee, H. Kwong
A.10 Reducing Annotation Effort with Multi-Layered Labels and a Pig Segmentation Model: A Case Study on Pig Behaviour and Identification P. J. De Temmerman, J. Defoort, L. Ingelbrecht, M. Aluwé, D. Maes, J. Maselyne
A.11 Harnessing novel non-invasive biomarkers for biosensor-based health monitoring in aquaculture: the IGNITION project C. Magalhaes, A. T. Gonçalves, T. Buha, S. Teixeira, B. Costas
A.12 Tech-Driven Transformation in Insect farming: The Future of Black Soldier Fly Larvae with Nasekomo and Fly Genetics M. Farasheva, M. Tejeda, C. Pincent, S. Mavrodieva, M. Bolard
A.13 Deep Learning for Automated Coccidiosis Detection in Poultry Gut Images D. Mezghiche, G. Tilli, A. Verhelle, B. Regmi, G. Antonissen, P. Claes
A.14 Milk yield prediction based on udder measurements in Pelibuey sheep using image processing and machine learning: Preliminary Results F. Castro-Espinoza, M. Espinosa-Lara, B. Andres-Serna, D. Contreras Caro Del Castillo, E. Hernandez-Rojas, J. C. Angeles-Hernandez
A.15 Use of machine learning algorithms to estimate the phenolic compounds and antioxidant activity of honey based on colour parameters A. K. Zaldivar-Ortega, J. C. Angeles-Hernandez, N. Esturau-Escofet, M. Jiménez Guarneros, A. M. Mier Y Teran Lugo, P. A. Vázquez-Landaverde, A. D. J. Cenobio Galindo
A.16 Machine Learning-Based Prediction of Milk Yield from Early-Life Data C. Ferrari, A. M. Vergani, C. Punturiero, A. Delledonne, M. G. Strillacci, A. Bagnato
Theatre Session B. “Emerging AI Applications in Precision Livestock Farming: Innovations in generative AI, digital twins, large language models (LLMs), big data, and robotics”
- Machine Vision Technologies for Monitoring Poultry Health and Welfare L. Chai
- Challenge of dairy housing automation through M2M networking: how farmers’ experience shapes expectations J. Poteko, J. Harms
- Towards a morphology estimation of horses from images using a deep learning approach B. Pasquiet, B. Dumont Saint-Priest, A. Ricard, F. Chaieb-Chakchouk
- AI-Powered Conformation Analysis: A CNN Approach for Accurate Horse Morphometry M. Zanchi, C. Bordin, T. Danese, L. Ozella, E. Valle
- Monitoring respiratory symptoms in weaned piglets using a cough monitor E. Van Erp-Van Der Kooij, M. Janssen, R. Van Lieshout, A. Trommelen, J. Van Poppel
- Identification of biomarkers for female pig fertility prediction using machine learning modelling J. Li, L. Fletcher, X. Zhang, D. Tuplan
- Automated chicken observation under varying light conditions using deep learning R. Bekhit, M. Van Der Sluis, J. A. Van Der Eijk, I. De Jong
- Harnessing AI for Personalized Dairy Cow Welfare: Insights from Multi-Year Behavioral Tracking O. Forkosh, B. Valnickova, L. Oscar, D. Papinutti, S. Mordechay, I. Zeev, H. Honig, Y. Salzer
- Bridging AI and Clinical Expertise: A Neuro-Symbolic System for Emergency Veterinary Triage Analysis L. Bukowski, L. Wizenty, M. G. Doherr
- Extracting video-based phenotypes on a large scale from video data M. Johansen, C. Coello, Ø. Nordbø, R. Sagevik, K. H. Martinsen
- Automated detection of perturbations in pigs’ feed intake and feeding behavior as a resilience indicator W. Gorssen, C. Winters, H. Pausch
- Large Language Models for improving on-farm poultry welfare decision-making: opportunities and challenges L. Palczynski, H. Vickery, D. C. Rose
- Retrieval Augmented Generation (RAG) system and AI agents for querying Feedipedia information V. Heuzé, E. D. Jaramillo, P. Betancur Garcia, J. S. Sanchez Zuluaga, D. Morales Rave, G. Tran
Poster Session B.
B.01 MCFBR-Net: A Multi-target Cow Feeding Behavior Recognition Model for Spatiotemporal Action Detection R. Gao, X. Li, Q. Li, Q. Yu, W. Ma
B.02 Prospective of Monitoring Infectious Disease Dynamics in Livestock Through an Integrated Approach of Continuous Sensor Data and Frequent Molecular Analysis B. Han, H. P. Doekes, R. De Jong, N. Stockhofe-Zurwieden
B.03 Association between sensor-based prepartum behaviour monitoring and early postpartum health in dairy cows: A case study E. Van Erp – Van Der Kooij, G. Hofstra, J. Roelofs
B.04 Exploring machine learning algorithms on activity and feeding behaviour for early estrus detection in dairy cows L. Krpalkova, J. Daly, G. Corkery, E. Broderick, J. Walsh
B.05 Transforming Dairy Farming in Romania: The Role of AI in Research and Precision Livestock Management A. S. Neculai-Valeanu, I. Porosnicu, C. Sanduleanu
B.06 AI-driven forecasting of heat stress effects on dairy production using TSMixer neural network M. Zanchi, C. La Porta, S. Zapperi, L. Ozella
B.07 Benchmarking predictive models: evaluating parametric, ensemble, and deep learning approaches for animal phenotype prediction from genotypes. E. Barrey, S. Xie, T. Tribout, R. Tonatto, F. Shokor, J. Zhu, F. Victor, J. Kwon, J. B. Léger, T. Mary-Huard, A. Ricard, B. Castro Dias Cuyabano, P. Croiseau, J. De Goer De Herve, D. Boichard, B. Hanczar, J. Chiquet
B.08 Computer Vision and Deep Learning for Remote Cattle Behavior Tracking on Pasture S. Benaissa, P. J. De Temmerman, S. Coussement, J. Vangeyte, J. Maselyne
B.09 A Decision-Making Tool Leveraging Open-Access Dataset: Unsupervised Learning for Individualized Benchmarking of Grigio Alpina Cattle Y. Gong, S. Heo, H. Hu, A. Liu, R. Negrini, C. Dadousis, N. Geifman, G. Rosa, V. Cabrera
B.10 The effects of climate change on thermal stress in cattle: global projections with high temporal resolution M. Neira, P. Georgiades, Y. Proestos, T. Economou, J. Araya, S. Malas, M. Omirou, D. Sparaggis, G. Hadjipavlou, J. Lelieveld
B.11 AI-Driven Approaches for Animal Welfare Monitoring in Agroforestry Systems J. Menne, R. Becker, J. Sonntag, A. Waldmann, A. C. Kreter, S. Wiedemann
B.12 Decisions-making model for microclimate control on the pig farms S. Karvan, M. Rozkot, E. Weisbauerova
B.13 Deep Learning in the bioinformatic modelling of functionally annotated microbial communities in aquaculture M. Sztuka, J. Szyda
B.14 AI Meets Tradition: Enhancing Italian Small Ruminant Biodiversity through Breed Identification A. Bionda, P. Crepaldi
Theatre Session C “Advancements in Data Collection and Integration: Exploring cuttingedge sensors, multi-sensor systems, data labelling, and tools driving animal science innovation”
- Leveraging AI and Multi-Sensor Data Integration for Sustainable Livestock Monitoring A. Arsenos, V. Anestis, S. Vouraki, G. Arsenos
- Accelerometry and Machine Learning for Early Health Detection in Livestock and Companion Animals A. Montout, R. Bhamber, E. Morgan, C. Ioannou, T. Terrill, J. Van Wyk, T. Burghardt, A. Dowsey
- Digital Transformation of Veterinary Medicine: Opportunities and Challenges for Livestock Farming M. A. Kramer, P. M. Roth
- LIB: Livestock Images Behavior M. Bonneau, C. Coupechoux, E. Desterbecq
- In-house Developed Mobile Monitoring System for Sow and Piglet Behaviour in Commercial Farming Environments P. J. De Temmerman, L. Ingelbrecht, B. Garré, M. Poelman, S. Coussement, M. Aluwé, D. Maes, J. Maselyne
- AI-driven Optimization of Veterinary Care Services V. M. Dolin, G. Kinz, P. M. Roth
- A pilot model testing machine learning models to predict back muscle strength activity from exercising horses based on surface electromyography sensor data R. Zsoldos, T. Licka, B. Nurse, A. Beasley, O. Guzhva
- A Top-View 3D Point Cloud Extraction Method for Pig Bodies W. Ma, M. Li, Q. Li, R. Gao, Q. Yu
- Ammonia emission mitigation in pig farming: sensor monitoring and cloud analytics for sustainable agriculture D. A. Mendez Reyes, B. Fajardo, E. Gil, M. Jarque, F. Estelles, S. Calvet
- AI-Driven Cloud-Edge Framework for Automated Feral Pigeon Monitoring in Urban Environments C. Guo, L. Lyu, Z. Guo, Z. He, K. Liu
- VetInspector – an automated tool for post-mortem inspection of broiler chicken M. Majewski, J. Fagertun, T. Moerck, M. S. Nielsen, M. Sandberg
- Machine learning-based detection of individual cow global health using MIR-predicted traits and big data Y. Chen, S. Franceschini, H. Atashi, C. Grelet, C. Nickmilder, P. Lemal, K. Wijnrocx, H. Soyeur, H. Consortium, N. Gengler
- New insights into pig social interactions from AI-assisted digital phenotypes A. Doeschl-Wilson, S. Agha, L. Oldham, E. Psota, S. P. Turner, C. R. G. Lewis, J. P. Steibel
Theatre Session D “Efficient AI Modeling and Data Processing: Tools, algorithms, and workflows for scalable AI solutions”
- Deep Learning for Advancing Animal Breeding – A Study on Austrian Fleckvieh Cattle J. Ganitzer, J. Himmelbauer, H. Schwarzenbacher, M. Tschuchnig
- Three-dimensional reconstruction of multi-view pig images based on Gaussian Splatting Q. Li, Z. Wang, R. Gao, Q. Yu, W. Ma
- Application of Machine Learning Algorithms for Estimating Body Weight in Horses Using Morphometric Measurements J. C. Angeles Hernandez, G. Mariano Hernandez, X. K. Aguilar Amaro, N. A. Cruz Gutierrez, E. Cardoso Gutierrez, R. Gonzalez Lopez
- Automated pig gut segmentation in CT images using Deep Learning M. Nourry, M. Monziols
- Application of AutoEncoder architectures to the analysis of fish gut microbiome J. Liu, M. Sztuka, M. Jakimowicz, J. Szyda
- Breaking down big data: A two-step method for visualizing complex data structures M. Neuditschko
- A review on implementational gaps and barriers regarding data quality and robustness for AI applications in livestock digital solutions A. Lebreton, C. Allain, J. Niemi, M. Pastell, A. Stygar
- Does SNP imputation require attention? J. Szyda, J. Liu, M. Sztuka, M. Frąszczak
- Deep Neural Networks for Transferable Cluster Models in Dairy Milk Transformation Ability Assessment C. Nickmilder, I. Alexakis, V. Wolf, S. Franceschini, J. Leblois, Consortium Holicow, H. Soyeurt
- Incremental hierarchical clustering for pattern discovery to optimize on-farm milk processing I. Alexakis, C. Nickmilder, S. Franceschini, J. Leblois, V. Wolf, Holicow Consortium, H. Soyeurt
- Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data M. Dharejo, L. Minoque, T. Kabelitz, T. Amon, O. Kashongwe, M. Doherr
- Can AI accurately predict forage energy and protein values using chemical and textual data? G. Tran, R. Genin, A. Lauront, M. Petitet, R. Rubrice, V. Heuzé, V. Guigue, A. Cornuejols
- Looking inside: Poultry evaluation, Box Inspections and foreign body plastic detections: challenging tasks solved by new approaches in deep learning and different image acquisition systems S. Husain, C. Cruse, J. Schulte Landwehr, A. Voß
Theatre Session E “Advancing Digital Biomarkers with AI: Breakthroughs in animal identification, health and welfare monitoring, behavior analysis, and remote sensing technologies”
- Occlusion-Resilient Cattle Tracking in Barn Environments Using Monocular Depth Estimation and 3D Relational Bounding Boxes L. T. Dickson, C. Davison, D. Das, D. Pavlovic, E. Mcrobert, C. Michie, H. Ferguson, R. Dewhurst, O. Marko, V. Crnojević, C. Tachtatzis
- High-density 3D pose estimation for pigs: enhancing anatomical precision for social behavior analysis C. Winters, S. E. Ulbrich, S. Goumon
- Pose estimation for behavioral anomaly detection in pigs: comparative analysis of key point configuration and neural networks K. Ivanov, V. Bonfatti, C. Kasper, H. R. Nasser
- Complex Behaviours Prediction in Pigs using YOLOv8 M. U. Hassan, Ø. Nordbo, S. L. Thingnes, R. Sagevik, K. H. Martinsen
- Characterisation of the impact of feed restriction on individual activity patterns in dairy goats S. Mauny, J. Kwon, N. C. Friggens, C. Duvaux-Ponter, M. Taghipoor
- Real-Time Detection of Parturition Onset in Small Ruminants Using Wearable Accelerometers and Machine Learning P. Gonçalves, A. T. Belo, M. R. Marques, M. Antunes, S. Nyamuryekung’e, G. H. Jorgensen
- Development of algorithms for live weight prediction in rabbits by computer vision D. A. Mendez, C. Cano, A. Martínez, C. Ruiz, E. Aguilar, E. Gil, B. Fajardo, S. Cubero, A. Villagra
- Automated Body Measurement of Sows in Feeding Stations Using Multiple Cameras P. Helf, S. Kupfer, C. Pfeifer, S. Gorr, P. Roth, J. Baumgartner, M. Oczak
- Deep learning for pain recognition in cows V. Belik, S. K. Choudhari, A. Sergeeva, K. E. Müller
- Evaluation and comparison of pre-trained convolutional neural networks for detecting Equine Pain Face D. B. Jensen, S. H. Knudsen, N. D. Jensen, C. Larsen
- Automated detection of asymmetrical udders in dairy goats using deep learning-based imaging K. Libera, M. Pals, Y. De Geus, G. Koop, L. A. M. Smit, A. Bossers
- 5 Epigenetic Disease-Driven Aging in Dairy Cattle: A Machine Learning Approach Integrating Longitudinal and Cross-Sectional DNA Methylation Data L. Bouzeraa, M. Oudihat, H. Martin, J. C. Marques, R. Cerri, M. A. Sirard
- Monitoring Play Behavior in Dairy Calves Using Computer Vision and Accelerometers H. Yang, E. Liu, J. Sun, D. Seeman, A. Jain, H. Lesscher, S. Steenbergen, C. Kamphuis, E. Visser, I. De Graaf, S. Vreuls, M. Hostens
- Damaging Behavior Prediction in Precision Livestock Farming Using Multi-Sensor Data M. Mohseni, A. Rebel, B. Van Der Fels, I. De Jong
Theatre Session F “AI for Research and Farm Management: Leveraging AI to address research challenges in various animal science disciplines and improve informed decision-making”
- Counting Sheep with Drones: A Feasible AI Solution for Outdoor-Based Farming A. Lebreton, E. Nicolas, T. Dechaux, L. Helary
- Automated dairy cow tracking and identification pipeline across 50 cameras to underpin the John Oldacre Centre for Dairy Welfare & Sustainability Research J. Gao, A. Montout, P. Yu, R. Bruce, D. Baran, G. Richards, M. Montes De Oca, K. Reyher, M. Mendl, S. Mullan, D. Enriquez-Hidalgo, S. Held, T. Burghardt, N. Campbell, A. Dowsey
- Chicken Individual Recognition Method Based on CFNET model M. Di, S. He, Y. Jiang, J. Zhang, P. He, H. Lin, J. Pan
- Location-Partitioned Residual Feed Detection Using RFP-LP Model in Cage Poultry Houses for Precise Feeding J. Zhang, P. He, Y. Jiang, M. Di, S. He, J. Pan, H. Lin
- Sparse Multi View and Dense Stereo 3D Reconstruction in Feed Intake Measurement for Precision Livestock Farming K. Comandur, M. Oczak, M. Iwersen
- Automating Body Condition Scoring of Dairy Cows Using Machine Learning on Time-of-Flight Data N. Martinez-Baquero, G. Wager-Jones, M. Fujiwara, A. Peacock
- Recognition and quantification of melanin-based skin pigmentation fading as a stress response in Atlantic salmon using computer vision T. Laique, M. Gunnes, Ø. Øverli, H. Ullah
- Monitoring foaling mares’ behavior using computer vision A. Eerdekens, M. Papas, M. Deruyck, J. Govaere, W. Joseph, L. Martens
- A Multi-Object Tracking Approach to Identify Low-Yield Laying Hens S. He, J. Pan, M. Di, Y. Jiang, J. Zhang, P. He, H. Lin
- Predicting future cow lifetime milk revenue using test day data and neural network regression L. Fadul, R. Lacroix, D. Warner, M. Ayat, D. Lefebvre
- Assessing the impact of extensive husbandry conditions on broiler meat quality using machine learning Z. Fendor, A. J. Carnoli, R. G. Hobé, W. Hoenderdaal, E. D. Van Asselt
- AI-Powered Welfare Monitoring in Poultry Production: Enhancing Research and Farm Management J. O’Sullivan, H. E. Gray, G. Moat, L. Asher
- Facilitating decision-making using PLF technologies and ML algorithms to predict shade-seeking behaviour in dairy heifers X. Díaz De Otálora, D. A. Méndez, S. Sanjuan, R. Arnau, J. M. Calabuig, A. Villagrá, F. Estellés
- Innovation in Tradition: The Use of Artificial Intelligence in Sheep Farming G. Gobbi, F. M. Sarti