AIMC Topic: Animal Husbandry

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Automated early detection of drops in commercial egg production using neural networks.

British poultry science Oct 17, 2017
1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg farm on a daily basis over 7 years. Records f...
Animal Husbandry Chickens Ovum Female Animals Neural Networks, Computer
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Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control.

Journal of hazardous materials Jul 12, 2017
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based...
Temperature Animal Husbandry Animals Air Pollution, Indoor Environmental Monitoring Humidity Carbon Dioxide Swine Fuzzy Logic Hydrogen Sulfide Ammonia
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Broiler weight estimation based on machine vision and artificial neural network.

British poultry science Mar 9, 2017
1. Machine vision and artificial neural network (ANN) procedures were used to estimate live body weight of broiler chickens in 30 1-d-old broiler chickens reared for 42 d. 2. Imaging was performed two times daily. To localise chickens within the pen,...
Animals Male Animal Husbandry Chickens Body Weight Neural Networks, Computer Female
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A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.

Journal of hazardous materials Dec 6, 2016
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...
Ventilation Humidity Facility Design and Construction Swine Ammonia Temperature Animal Husbandry Regression Analysis Neural Networks, Computer Gases Animals Fuzzy Logic Air Pollutants Artificial Intelligence Thinking Linear Models Algorithms
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Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor.

Sensors (Basel, Switzerland) May 2, 2016
Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring prototype system that uses a Kinect depth sensor to recognize aggressive ...
Head Animal Husbandry Animals Sus scrofa Biosensing Techniques Aggression Support Vector Machine Swine
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Innovations in Quail Welfare: Integrating Environmental Enrichment, Nutrition and Genetic Advances for Improved Health and Productivity.

Veterinary medicine and science Jul 1, 2025
The demand for ethical and sustainable poultry production is driving up the importance of quail welfare. Because quail meat and eggs are in high demand, quails are frequently kept in harsh production environments that may harm their health and well-b...
Animals Animal Welfare Animal Nutritional Physiological Phenomena Environment Animal Husbandry Quail
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Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms.

Veterinary medicine and science Jul 1, 2025
This study evaluates the effectiveness of XGBoost and LightGBM algorithms for estimating the live weight of Holstein×Zebu crossbred heifers. The study compares the performance of both algorithms using a wide range of biometric measurements and tests ...
Boosting Machine Learning Algorithms Machine Learning Algorithms Female Animals Animal Husbandry Body Weight
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Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.

Veterinary medicine and science Jul 1, 2025
BACKGROUND: Machine learning systems learn from historical data to forecast future outcomes. In the context of livestock farming, machine learning can be utilized to predict variables such as growth rates, milk production and breeding success by anal...
Female Animals Male Machine Learning Algorithms Biometry Weaning Sheep, Domestic Animal Husbandry Body Weight Sheep
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Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerization.

Journal of animal science Jan 4, 2025
Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist for quantifying individual DMI in dry lot settings that employ expensive intake systems. No methods exist to accurately measure individual DMI of grazin...
Machine Learning Animals Diet Artificial Intelligence Eating Animal Feed Animal Husbandry Cattle Regression Analysis
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Path planning optimization for swine manure-cleaning robots through enhanced slime mold algorithm with cellular automata.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2024
One of the primary challenges for robotic manure cleaners in pig farming is to plan the shortest path to designated cleaning points under specified conditions with minimal processing cost and time, while avoiding collisions. However, pigs are randoml...
Manure Algorithms Animals Swine Animal Husbandry Time Factors Robotics
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