Continue with FacebookLooking to list your PhD opportunities? Log in here.
Dr Ali Alameer,
Prof Sunil Vadera
Applications accepted all year round
Self-Funded PhD Students Only
About the Project
Currently health and welfare assessment are done by trained assessors and as a result is time and labour consuming. This process can also be subjective, and it is sometimes questionable if the auditor is measuring animals under normal farm conditions. On the other hand, the automatic recording of animal-based parameters provides objective measurements in real-time, reducing the need to send specialized personnel out to farms. This field is known as Precision Livestock Farming (PLF) and PLF technology has a large market, as it can be used by farmers, veterinarians and other companies active in the livestock sector.
Behaviour parameters such as animal location and activity can be derived from real-time video monitoring and linked with health and welfare events on the farm. This project is aimed at the development of a health and welfare monitor for livestock based on automatic detection of visual behaviour parameters. Machine vision algorithms shall be used and further developed to calculate several characteristic parameters, such as animal position and movement. These parameters shall be related to specific behaviours, such as aggressive social behaviour.
In this project, you will enjoy developing on state-of-the-art deep learning methods which operates on both 2D and 3D (i.e., depth sensor and time of flight cameras) imaging systems for effectively identifying livestock behaviours and presents automated approaches for monitoring and investigation of livestock feeding, drinking, lying, locomotion and aggressive behaviour. You will be supported closely by experts in the field at the University of Salford: Dr Ali Alameer (a.alameer1@salford.ac.uk) and Professor Sunil Vadera (s.vadera@salford.ac.uk).
Please do not hesitate to contact us if you require any information or to discuss further project ideas within the field of Artificial Intelligence.
Research training:
● Designing and executing cutting edge experimental research
● Analysis and interpretation of results
● Contributing to manuscript writing
● Training in state-of-the-art machine learning techniques
● Presentation of data to expert audiences.
Email Now
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
Why not add a message here
* required field
The information you submit to University of Salford will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Manchester, United Kingdom
Check out our other PhDs in United Kingdom
Start a New search with our database of over 4,000 PhDs
PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Real-time wave imaging using stereo and monocular machine vision
University of Portsmouth
Using a Machine Learning approach to develop a multilingual capable system for collecting and evaluating cyber threat intelligence from online communities.
Kingston University
Artificial intelligence and machine learning methods for model discovery in the social sciences
University of Sheffield