AIMC Topic: Chickens

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Automatic detection of brown hens in cage-free houses with deep learning methods.

Poultry science May 18, 2023
Computer vision technologies have been tested to monitor animals' behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, ...
Female Animals Housing, Animal Behavior, Animal Body Size Deep Learning Chickens
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An approach for goose egg recognition for robot picking based on deep learning.

British poultry science Apr 28, 2023
1. In a non-cage environment, goose eggs are buried in litter and goose feathers, leading to contamination and discolouration. Such random distribution of goose eggs poses a great challenge to the recognition and location for intelligent picking by r...
Female Animals Deep Learning Chickens Animal Husbandry Geese Robotics Ovum
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Mislaying behavior detection in cage-free hens with deep learning technologies.

Poultry science Apr 20, 2023
Floor egg-laying behavior (FELB) is one of the most concerning issues in commercial cage-free (CF) houses because floor eggs (i.e., mislaid eggs on the floor) result in high labor costs and food safety concerns. Farms with poor management may have up...
Animals Animal Husbandry Deep Learning Female Housing, Animal Oviposition Chickens Ovum
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Recognition of Abnormal-Laying Hens Based on Fast Continuous Wavelet and Deep Learning Using Hyperspectral Images.

Sensors (Basel, Switzerland) Mar 31, 2023
The egg production of laying hens is crucial to breeding enterprises in the laying hen breeding industry. However, there is currently no systematic or accurate method to identify low-egg-production-laying hens in commercial farms, and the majority of...
Female Animals Chickens Deep Learning Neural Networks, Computer Algorithms
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Developing Edge AI Computer Vision for Smart Poultry Farms Using Deep Learning and HPC.

Sensors (Basel, Switzerland) Mar 10, 2023
This research describes the use of high-performance computing (HPC) and deep learning to create prediction models that could be deployed on edge AI devices equipped with camera and installed in poultry farms. The main idea is to leverage an existing ...
Farms Deep Learning Animals Poultry Chickens Computers
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Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Tropical animal health and production Feb 10, 2023
Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the need to use alternative additives which could replace traditional promoters in diets has arisen. The objective of this study was to evaluate the effect o...
Cost-Benefit Analysis Biometry Dietary Supplements Unsupervised Machine Learning Eggs Diet Animal Feed Ovum Female Poultry Animals Chickens
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Decision support system to classify the vulnerability of broiler production system to heat stress based on fuzzy logic.

International journal of biometeorology Jan 28, 2023
In this study, we develop an artificial intelligence model to predict the vulnerability of broiler production systems (broilers and facilities) to heat conditions using a fuzzy model approach. The model was designed with a multiple-input and a single...
Chickens Heat-Shock Response Weather Heat Stress Disorders Fuzzy Logic Artificial Intelligence Animals
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A reliable and low-cost deep learning model integrating convolutional neural network and transformer structure for fine-grained classification of chicken Eimeria species.

Poultry science Dec 30, 2022
Chicken coccidiosis is a disease caused by Eimeria spp. and costs the broiler industry more than 14 billion dollars per year globally. Different chicken Eimeria species vary significantly in pathogenicity and virulence, so the classification of diffe...
Eimeria Animals Coccidiosis Deep Learning Neural Networks, Computer Chickens
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In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning.

Poultry science Oct 11, 2022
The purpose of this study was to predict the carcass characteristics of broilers using support vector regression (SVR) and artificial neural network (ANN) model methods. Data were obtained from 176 yellow feather broilers aged 100-day-old (90 males a...
Regression Analysis Abdominal Fat Male Chickens Female Neural Networks, Computer Animals Muscles
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Automated identification of chicken distress vocalizations using deep learning models.

Journal of the Royal Society, Interface Jun 29, 2022
The annual global production of chickens exceeds 25 billion birds, which are often housed in very large groups, numbering thousands. Distress calling triggered by various sources of stress has been suggested as an 'iceberg indicator' of chicken welfa...
Noise Deep Learning Neural Networks, Computer Vocalization, Animal Chickens Animals
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