AIMC Topic: Chickens
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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...
Initializing a Public Repository for Hosting Benchmark Datasets to Facilitate Machine Learning Model Development in Food Safety.
Journal of food protection
Feb 6, 2025
While there is clear potential for artificial intelligence (AI) and machine learning (ML) models to help improve food safety, the development and deployment of these models in the food safety domain are by and large lacking. The absence of publicly a...
Classification of chicken Eimeria species through deep transfer learning models: A comparative study on model efficacy.
Veterinary parasitology
Jan 20, 2025
Eimeria is a protozoan parasite that causes coccidiosis in various animal species, especially in chickens, resulting in infections characterized by intestinal damage, hemorrhagic diarrhea, lethargy, and high mortality rates in the absence of effectiv...
Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis.
PloS one
Jan 16, 2025
The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research ...
Physalis Calyx seu Fructus relieves chicken intestinal damage to heat via improving the antioxidant ability.
Frontiers in immunology
Jan 14, 2025
Heat-stress-induced oxidative and inflammatory responses were important factors contributing to chicken intestinal damage. The purpose of this study was based on the antioxidant and anti-inflammatory activities of Physalis Calyx seu Fructus (Jin Deng...
Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 20, 2024
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classificatio...
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