AIMC Topic: Livestock

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Machine Learning Algorithms to Classify and Quantify Multiple Behaviours in Dairy Calves Using a Sensor: Moving beyond Classification in Precision Livestock.

Sensors (Basel, Switzerland) Dec 25, 2020
Previous research has shown that sensors monitoring lying behaviours and feeding can detect early signs of ill health in calves. There is evidence to suggest that monitoring change in a single behaviour might not be enough for disease prediction. In ...
Behavior, Animal Cattle Machine Learning Animals Eating Algorithms Livestock
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Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery.

Sensors (Basel, Switzerland) Aug 26, 2020
Monitoring biomass of forages in experimental plots and livestock farms is a time-consuming, expensive, and biased task. Thus, non-destructive, accurate, precise, and quick phenotyping strategies for biomass yield are needed. To promote high-throughp...
Phenotype Brazil Animal Feed Livestock Deep Learning Remote Sensing Technology Animals Plants Biomass
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Minimalist analogue robot discovers animal-like walking gaits.

Bioinspiration & biomimetics Feb 7, 2020
Robots based on simplified or abstracted biomechanical concepts can be a useful tool for investigating how and why animals move the way they do. In this paper we present an extremely simple quadruped robot, which is able to walk with no form of softw...
Livestock Biomechanical Phenomena Robotics Animals Video Recording Primates Gait Motion
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A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

Food research international (Ottawa, Ont.) Jun 1, 2025
Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses significant environmental and health risks. This study quantified 15 PFAS compounds across various tissues (liver, kidney, gill, muscle, skin, lung, b...
Tissue Distribution Dimensionality Reduction Fluorocarbons Environmental Monitoring Fishes Food Contamination Animals Machine Learning Cluster Analysis Water Pollutants, Chemical Birds Liver Livestock
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Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.

Briefings in functional genomics Jan 15, 2025
Phenotyping of animals is a routine task in agriculture which can provide large datasets for the functional annotation of genomes. Using the livestock farming sector to study complex traits enables genetics researchers to fully benefit from the digit...
Artificial Intelligence Phenotype Big Data Wearable Electronic Devices Genomics Animals Livestock Internet of Things
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The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization.

Journal of veterinary internal medicine Jan 1, 2025
BACKGROUND: Limited universally-adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information-based tools to support advancement in...
Animals Breeding Vertebrates Veterinary Medicine Livestock Biological Ontologies
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Progress on deep learning in genomics.

Yi chuan = Hereditas Sep 1, 2024
With the rapid growth of data driven by high-throughput sequencing technologies, genomics has entered an era characterized by big data, which presents significant challenges for traditional bioinformatics methods in handling complex data patterns. At...
Computational Biology Deep Learning Genomics Humans Animals Livestock Neural Networks, Computer
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Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review.

Revue scientifique et technique (International Office of Epizootics) Aug 1, 2024
The Global Burden of Animal Diseases (GBADs) programme aims to assess the impact of animal health on agricultural animals, livestock production systems and associated communities worldwide. As part of the objectives of GBADs'Animal Health Ontology th...
Biological Ontologies Livestock Animal Diseases Animals Global Health Humans
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[Intelligent identification of livestock, a source of infection, based on deep learning of unmanned aerial vehicle images].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control May 10, 2023
OBJECTIVE: To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a s...
Deep Learning Neural Networks, Computer Cattle Animals Unmanned Aerial Devices Schistosomiasis japonica Livestock
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ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application.

Journal of animal science Jan 3, 2023
Over the last three decades, agent-based modeling/model (ABM) has been one of the most powerful and valuable simulation-based decision modeling techniques used to study the complex dynamic interactions between animals and their environment. ABM is a ...
Artificial Intelligence Livestock Models, Theoretical Animals Models, Biological Systems Analysis
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