AI Medical Compendium Journal:
British poultry science

Showing 1 to 6 of 6 articles

FEDM: a convolutional neural network based fertilised egg detection model.

British poultry science
1. The production of goose eggs holds significant economic value on a global scale and the quality of fertilised eggs is crucial for the successful hatching and sustained development of the poultry industry. Developing a low-cost fertilised egg ident...

An approach for goose egg recognition for robot picking based on deep learning.

British poultry science
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...

Objective scoring of footpad dermatitis in broiler chickens using image segmentation and a deep learning approach: camera-based scoring system.

British poultry science
1. Footpad dermatitis (FPD) can be used as an important indicator of animal welfare and for economic evaluation; however, human scoring is subjective, biased and labour intensive. This paper proposes a novel deep learning approach that can automatica...

The behaviour of commercial broilers in response to a mobile robot.

British poultry science
1. Modern broiler production in large sheds holding upwards of 50 000 birds uses indoor climate control based on a handful of fixed-location sensors, often well above the bird-occupied zone. Significant deviations from optimal climate conditions for ...

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

British poultry science
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...

Broiler weight estimation based on machine vision and artificial neural network.

British poultry science
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,...