How can we use digital innovation and precision farming techniques to measure animal health and welfare outcomes for livestock, and to provide early warning of livestock disease and health threats?
Background
We want to protect the nation from the effects of animal and plant diseases and pests, to enable sustainable production, trade, and a vibrant natural environment. Our focus is on building resilience to prevent, detect, adapt, and enable risk-based control.
Next steps
Get in touch with ari.comment@go-science.gov.uk
Source
This question was published as part of the set of ARIs in this document:
Topics
- economy, business and finance
- livestock farming
- environment
- animal disease
- health
- science and technology
- biomedical science
- biotechnology
- natural science
- biology
- technology and engineering
- agricultural technology
- information technology and computer science
- materials science
- micro science
- nanotechnology
Related UKRI funded projects
-
SmARtview: An AI-powered Augmented Reality Tool for Animal Health and Productivity
Imagine being able to walk through a herd of cows, instantly recognising each one -- distilling key individual productivity and health data in real-time, so that you can make the best decisions in order to provide her wi...
Funded by: ISCF
Why might this be relevant?
The project provides an AI-powered AR tool for real-time monitoring of individual cow health and productivity, addressing the question fully with expertise in dairy production and technology.
-
WELL-CALF: precision agricultural solution to improve health and productivity across the dairy-beef sector
"This proposed project is focused on developing a precision agriculture technology solution for optimising the production efficiency of the dairy-beef sector, through improvements in health and management throughout...
Funded by: ISCF
Why might this be relevant?
The project focuses on developing a precision agriculture technology solution for improving health and productivity in the dairy-beef sector, with expertise from veterinary and animal science.
-
University of Newcastle upon Tyne (The) and Greengage Agritech Limited KTP 21_22 R5
To apply animal welfare science theory to key environmental, welfare and industry KPI's to develop a novel diagnostic and prediction service for non-invasive bio surveillance. To provide a decision support tool to suppor...
Funded by: Innovate UK
Why might this be relevant?
The project aims to apply animal welfare science theory to develop a diagnostic and prediction service for livestock health, aligning with the question's focus on measuring animal health and welfare outcomes.