TuberScan Venture
May 19 – Dec 24
Funder – Innovate UK
The TuberScan Venture project is revolutionising how potato crops are monitored and managed by using advanced remote sensing technologies to measure and model potato growth while they are still underground. This innovative approach provides growers with detailed insights into crop health and development throughout the growing season. Using a combination of drones, ground-penetrating radar, and other advanced technologies, TuberScan enables accurate mapping of potato sizes, forecasts future growth, and predicts optimal desiccation dates, ultimately helping to increase marketable yields. Early versions of the technology have shown success in demonstrations and are now undergoing field trials to fine-tune the system for various field conditions.
The Challenge
One of potato growers’ most significant challenges is accurately monitoring their crops’ health and growth during the growing season. Traditional small-scale sampling methods often fail to represent the entire field, leading to sampling errors and incomplete data. As a result, critical decisions, such as determining the optimal burn-down date, are often made based on inaccurate or insufficient information. This lack of precise data can result in suboptimal choices, negatively impacting crop yield, quality, and overall productivity. There is a pressing need for a more comprehensive, real-time monitoring solution that provides growers full visibility of their crops to support better decision-making and maximise returns.
The Solution
A novel technology combining above and below ground sensing to detect the yield of the whole crop and show crop variation.
This technology is being developed as a tool to provide growers with complete visibility of their crops throughout the growing season. It enables them to assess total yield, plant count, yield per plant (or per unit area), and variations in tuber size across the entire field. By performing multiple scans during the season, growers can gain a comprehensive understanding of their crops and make informed decisions based on accurate, real-time data rather than relying on limited samples.
Status
B-hive, with collaborators, are developing this concept from proof of concept to a demonstrator system. In its second round of Innovate UK funding.
Find out more about TuberScan
To find out more about the TuberScan project, please get in touch