The currently available technologies which can determine the weight of livestock are reviewed and limitations of the weighing task by these means are defined. Comparisons between the different techniques highlight the superiority of the non-contact vision based method. Modelling techniques for weight estimation size and composition are reviewed along with image segmentation and recognition methods. Conclusions identify that more work is required on further minimising the error of group average daily weight estimates, individual animal weight estimates, group weight deviation and enhancing the design of the weighing apparatus to function in a commercially realistic environments. Future direction also centres on enhancing automation, minimisi...
This work describes a real-time continuous broiler weighing system based on machine vision, used for...
Session 39 - Poster 14International audienceLive weight (LW) monitoring is important in livestock ma...
A method of measuring cattle parameters using neural network methods of image processing was propose...
In this article, the technologies which can determine the weight and growth of livestock are reviewe...
Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. T...
Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. T...
Conventional weighing methods in the livestock industries require direct contact with the animal. Du...
Based on the livestock size are divided into two parts, where firstly the small one and the other th...
This paper describes first results in the development of a machine vision system that estimates the ...
The sheep sector has not suffered the technification that other livestock sectors have. The lack of ...
This research arose from the need to aggregate computer vision technology and machine learning in sh...
© Springer International Publishing Switzerland 2014. Good health is a key element in pig welfare an...
One of the difficulties in successfully managing the supply and use of animal feed in sheep farming ...
In china, there is a great variety of sheep production systems, from the most traditional grazing ty...
The sheep sector has not suffered the technification that other livestock sectors have. The lack of ...
This work describes a real-time continuous broiler weighing system based on machine vision, used for...
Session 39 - Poster 14International audienceLive weight (LW) monitoring is important in livestock ma...
A method of measuring cattle parameters using neural network methods of image processing was propose...
In this article, the technologies which can determine the weight and growth of livestock are reviewe...
Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. T...
Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. T...
Conventional weighing methods in the livestock industries require direct contact with the animal. Du...
Based on the livestock size are divided into two parts, where firstly the small one and the other th...
This paper describes first results in the development of a machine vision system that estimates the ...
The sheep sector has not suffered the technification that other livestock sectors have. The lack of ...
This research arose from the need to aggregate computer vision technology and machine learning in sh...
© Springer International Publishing Switzerland 2014. Good health is a key element in pig welfare an...
One of the difficulties in successfully managing the supply and use of animal feed in sheep farming ...
In china, there is a great variety of sheep production systems, from the most traditional grazing ty...
The sheep sector has not suffered the technification that other livestock sectors have. The lack of ...
This work describes a real-time continuous broiler weighing system based on machine vision, used for...
Session 39 - Poster 14International audienceLive weight (LW) monitoring is important in livestock ma...
A method of measuring cattle parameters using neural network methods of image processing was propose...