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Animal Husbandry

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Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm.

Poultry science
An improved fast region-based convolutional neural network (RCNN) algorithm is proposed to improve the accuracy and efficiency of recognizing broilers in a stunned state. The algorithm recognizes 3 stunned state conditions: insufficiently stunned, mo...

Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees.

Animal science journal = Nihon chikusan Gakkaiho
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the dec...

Automated prediction of mastitis infection patterns in dairy herds using machine learning.

Scientific reports
Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the most significant drivers of antimicrobial usage in dairy cattle. A critical step in the prevention of mastitis is the diagnosis of the predominant route...

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review.

Sensors (Basel, Switzerland)
Convolutional neural network (CNN)-based computer vision systems have been increasingly applied in animal farming to improve animal management, but current knowledge, practices, limitations, and solutions of the applications remain to be expanded and...

Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding.

Scientific reports
Consumer groups are pressuring modern farmers to be more efficient with a focus on better animal welfare. Herding risks farmer lives, involves stress from farm dogs, and if not performed often and intelligently, risks neglect. We examined the behavio...

Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.

Sensors (Basel, Switzerland)
Machine learning applications are becoming more ubiquitous in dairy farming decision support applications in areas such as feeding, animal husbandry, healthcare, animal behavior, milking and resource management. Thus, the objective of this mapping st...

New insights in improving sustainability in meat production: opportunities and challenges.

Critical reviews in food science and nutrition
Treating livestock as senseless production machines has led to rampant depletion of natural resources, enhanced greenhouse gas emissions, gross animal welfare violations, and other ethical issues. It has essentially instigated constant scrutiny of co...

Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.

Journal of animal science
Precision livestock farming (PLF) offers a strategic solution to enhance the management capacity of large animal groups, while simultaneously improving profitability, efficiency, and minimizing environmental impacts associated with livestock producti...

Mislaying behavior detection in cage-free hens with deep learning technologies.

Poultry science
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...

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...