AIMC Topic: Ruminants

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International Symposium on Ruminant Physiology: Leveraging computer vision, large language models, and multimodal machine learning for optimal decision making in dairy farming.

Journal of dairy science Apr 11, 2025
This article explores various applications of artificial intelligence (AI) technologies in dairy farming, including the use of computer vision systems (CVS) for animal identification, BCS and body shape analysis, and potential uses of large language ...
Animals Cattle Artificial Intelligence Machine Learning Decision Making Large Language Models Ruminants Dairying
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Probing the eukaryotic microbes of ruminants with a deep-learning classifier and comprehensive protein databases.

Genome research Feb 14, 2025
Metagenomics, particularly genome-resolved metagenomics, have significantly deepened our understanding of microbes, illuminating their taxonomic and functional diversity and roles in ecology, physiology, and evolution. However, eukaryotic populations...
Computational Biology Gastrointestinal Microbiome Animals Deep Learning Fungi Rumen Databases, Protein Metagenome Metagenomics Eukaryota Ruminants
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Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock.

Sensors (Basel, Switzerland) Sep 11, 2024
Heat stress impacts ruminant livestock production on varied levels in this alarming climate breakdown scenario. The drastic effects of the global climate change-associated heat stress in ruminant livestock demands constructive evaluation of animal pe...
Heat Stress Disorders Ruminants Livestock Climate Change Artificial Intelligence Machine Learning Algorithms Animals Neural Networks, Computer
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To save wildlife from fences, scientists turn to AI.

Science (New York, N.Y.) Aug 22, 2024
The research uses aerial imagery to pinpoint structures that could block migratory pronghorn and other wildlife.
Ruminants Animal Migration Artificial Intelligence Animals Animals, Wild Conservation of Natural Resources
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Designing grazing susceptibility to land degradation index (GSLDI) in hilly areas.

Scientific reports Jun 21, 2022
Evaluation of grazing impacts on land degradation processes is a difficult task due to the heterogeneity and complex interacting factors involved. In this paper, we designed a new methodology based on a predictive index of grazing susceptibility to l...
Artificial Intelligence Animals Goats Romania Sheep Ruminants Conservation of Natural Resources
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In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning.

Sensors (Basel, Switzerland) Nov 11, 2015
Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. T...
Ruminants Mastication Animals Fiber Optic Technology Equipment Design Algorithms Machine Learning Feeding Behavior Biomechanical Phenomena
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ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics1,2.

Journal of animal science Apr 29, 2019
This paper outlines typical terminology for modeling and highlights key historical and forthcoming aspects of mathematical modeling. Mathematical models (MM) are mental conceptualizations, enclosed in a virtual domain, whose purpose is to translate r...
Artificial Intelligence Ruminants Animal Nutritional Physiological Phenomena Animals Models, Theoretical Systems Analysis Machine Learning Data Science Computer Simulation
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