AIMC Topic: Chickens
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Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.
Journal of biomedical optics
May 7, 2025
SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate diagnosis to limit irreversible brain damage. However, many advanced imaging modalities (computerized tomography, magnetic resonance imaging) remain ina...
Decoding Poultry Welfare from Sound-A Machine Learning Framework for Non-Invasive Acoustic Monitoring.
Sensors (Basel, Switzerland)
May 5, 2025
Acoustic monitoring presents a promising, non-invasive modality for assessing animal welfare in precision livestock farming. In poultry, vocalizations encode biologically relevant cues linked to health status, behavioral states, and environmental str...
Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.
Viruses
Apr 14, 2025
Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to its rapid evolution and the emergence of new variants. Although molecular and sequence data are now quickly and inexpensively produced, genetic distance...
Identifying mating events of group-housed broiler breeders via bio-inspired deep learning models.
Poultry science
Apr 4, 2025
Mating behaviors are crucial for bird welfare, reproduction, and productivity in breeding flocks. During mating, a rooster mounts a hen, which may result in the hen overlapping or disappearing from top-view of a vision system. The objective of this r...
Use of robotics in broiler production systems: a relationship between technology, environment and production.
Tropical animal health and production
Mar 29, 2025
In poultry farming, robotics is represented by robotic models which perform different functions. Among these functions, ambience is one of the most critical, as the aviary is an artificial environment which needs to present all the necessary conditio...
Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory.
Anais da Academia Brasileira de Ciencias
Mar 21, 2025
The control and monitoring process for broiler facilities needs to be improved to mitigate or eliminate birds' thermal stress. Thus, the objective was to develop of a fuzzy controller embedded in a microcontroller and a multiplatform web application ...
Automated chick gender determination using optical coherence tomography and deep learning.
Poultry science
Mar 15, 2025
Chick gender classification is crucial for optimizing poultry production, yet traditional methods such as vent sexing and ultrasound remain limited by human expertise, labor intensity, and insufficient resolution. This study introduces a novel approa...
Automated detection of broiler vocalizations a machine learning approach for broiler chicken vocalization monitoring.
Poultry science
Mar 4, 2025
The poultry industry relies on highly efficient production systems. For sustainable food production, where maintaining broiler welfare is crucial, it is essential to have robust data collection systems and automated methods for assessing broiler heal...
Sustainable gelatin extraction from poultry skin-head-feet blend: An ultrasound-assisted approach.
Poultry science
Mar 4, 2025
The study investigated gelatin extraction from chicken skin-head-feet (SHF) blend using conventional and ultrasound-assisted methods with food-grade acetic and citric acids. Ultrasound pretreatment was introduced as an intervention in the extraction ...
Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.
Poultry science
Feb 27, 2025
Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. Advancements in image processing and machine learning provide opportunities to automatically quantify and analyze broiler activity. This study aimed t...
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