How should we develop a data-led livestock system?
Background
Question Group: Working with nature to improve plant, animal and soil health, enhancing agricultural practices, and promoting resilient food systems. It also encompasses innovation in disease control, climate adaptation for crops and stock, strengthening food safety and sustainable farming to reduce environmental pollution and boost productivity.
Sub-questions: -How can we improve livestock data and use better data to meet our policy targets?
-How can data be used at a system wide level and at an individual farm level to improve performance?
-How can we increase uptake of precision farming across the whole supply chain?
-What new data can we expect to arise this area, and what will be it's role, e.g. LiDAR?
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Environment natural resources agriculture research strategy 2027 2032
Research fields
Related UKRI funded projects
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University of Strathclyde and Innovent Technology Limited
To embed advanced image/video processing, data analytics and machine learning expertise in the business of precision agriculture of livestock farming, improving performance of QSCAN and QBOX systems and, ultimately, enha...
Funded by: Innovate UK
Lead research organisation: UNIVERSITY OF STRATHCLYDE
Why might this be relevant?
The project focuses on embedding advanced image/video processing, data analytics, and machine learning expertise in precision agriculture of livestock farming, aligning with the question's objectives.
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Enhancing Data Availability by Establishing Additional Data Links
This project involves development of a novel, precision, data-driven solution for dairy farmers that will create a complete step-change towards improved resource use efficiency and net zero emissions. For the first time ...
Funded by: Innovate UK
Lead research organisation: QUALITY MILK MANAGEMENT SERVICES LIMITED
Why might this be relevant?
The project aims to enhance data availability for dairy farmers through a precision, data-driven solution, addressing the need for better data usage to meet policy targets and improve livestock performance.
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REMEDY: REal tiME DairY. Providing solutions for farmers, vets, consultants and the environment.
This project involves development of a novel, precision, data-driven solution for dairy farmers that will create a complete step-change towards improved resource use efficiency and net zero emissions. For the first time ...
Funded by: ISCF
Lead research organisation: QUALITY MILK MANAGEMENT SERVICES LIMITED
Why might this be relevant?
The REMEDY project provides a precision, data-driven solution for dairy farmers to improve resource use efficiency and environmental impact, aligning with the question's focus on using data at a system-wide and individual farm level to enhance performance.