Project URSULA (UAS Remote Sensing for Use in Land Applications) was launched by Welsh Assembly Minister for Rural Affairs, Elin Jones. The 2 year research and development programme will explore the potential for advanced remote sensing, using small unmanned aircraft, for use in land applications, primarily high input arable farming. The project is supported by the Welsh Assembly Government.
Gubua Group Flying Wing
URSULA will develop market-focussed data products based on imagery captured by a range of sensors mounted in small unmanned aircraft with a launch anywhere, anytime capability. Combining the innovative remote sensing platform with novel processing techniques, URSULA provides a disruptive technology which will open up new avenues for flexible, cost-effective, high resolution data provision. It is anticipated that this will accelerate the adoption of precision farming principles at a critical time for the industry.
There is a growing need for timely, accurate, detailed information on our land as we place greater pressure upon it. A rising population coupled with changes in demand and increasing scarcity of critical resources such as water and energy will place ever-increasing pressure on the land to perform multiple functions. Our food system needs to be sustainable – and economically viable – whilst adapting to climate change and contributing to climate change mitigation.
Project URSULA aims to satisfy some of these needs and provides an opportunity to develop and demonstrate a number of leading edge capabilities such as:
- Technical agriculture
- Environmental understanding
- Increased flexibility in routine UAS operations
- Advanced algorithm development and data interpretation
A key advantage of UAS remote sensing is the ability to obtain timely higher resolution data than can be currently be achieved, and to use this to drive improved performance, including:
- Precision agriculture practices:
- Managing fertilisers, nutrients
- Variable seed rates
- Soil moisture indicators
- Yield assessment
- Disease and stress detection:
- Managing pesticides
- invasive weed mapping
- Sustainable land management
Our engagement with stakeholders and end users ensures agriculturally led data interpretation and individual farm-level knowledge makes the most of the remote sensing data.