Research: Nitrogen diagnosis using AI and robotics
N2Vision uses an automated robot to capture data, and machine learning and artificial intelligence to detect nitrogen levels in plants and soils - helping to reduce pollution and protect biodiversity.
Research summary
Research summary
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September 2020 to February 2022
This project is developing the first robot-enabled machine vision tool capable of detecting nitrogen levels in both plants and soil.
N2Vision uses data collected from 3D imaging sensors to provide accurate information on nitrogen use efficiency and soil quality assessment.
Accurate measurement of soil nitrogen levels is crucial for the economic and environmental sustainability of cropping systems.
Whereas current methods for nitrogen detection are expensive, labour intensive and time-consuming, N2Vision will provide cost-effective and actionable predictions.
We are working with farmers on the technology and we intend for our solution to be immediately beneficial and easily integrated into commercial use.
This collaboration allows us to develop our expertise in big data, machine learning and artificial intelligence. It combines our computer vision software product with robotics, enhancing our expertise in processing and analysing large-scale 3D imaging sensors such as Lidar.
Quote
This technology combines plant science and robotics, computer vision, machine learning and artificial intelligence to improve the sustainability of our farming systems. Farm robots could reduce the amount of fertiliser used on farms, targeting only the areas which need it - reducing pollution and protecting biodiversity while saving farmers money.
Project website
Research outputs
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Academic papers, reports and other research outputs will be linked from here when they are published.
Research team
Research team
Lead researcher
Collaborating with:
Funding
With funding from
Industrial Strategy
Innovate UK
Contact
Contact us
For general enquiries about this project and our Data Science research theme, you can contact Prof Liangxiu Han.
