Wednesday 25 04 2018
A new type of imaging system for use in agriculture, designed to be far less expensive than existing technology and to increase crop yield, is being developed in a partnership between academics and industry.
Academics at the University of the West of Scotland (UWS), the University of Strathclyde (UoS) and the James Hutton Institute (JHI), led by Glasgow based product design firm Wideblue, have teamed up to develop a new type of hyperspectral imaging (HSI) system. The UK government-funded collaboration has the potential to introduce an affordable spectral imaging technology to help agricultural businesses monitor and maximise crop production in fields and greenhouses.
The sensors in development are expected to be up to 90% cheaper than equivalent equipment currently on the market and have the potential to make high resolution spectral imaging technology significantly more accessible to the agricultural sector and beyond.
The team’s HSI system, which is being manufactured by Wideblue, uses UWS-designed ‘linear variable optical filters’ to disperse light reflecting from plants into specific wavelengths and colours. This spectral image data is subsequently captured and analysed using sophisticated data processing software, designed by UoS, to provide a number of key indicators to farmers on the conditions of crops.
It is anticipated that adopting the technology will allow farmers to monitor various crop attributes including plant health, hydration levels and disease indicators. As a result, it is envisaged that farmers will be able to: optimise the impact of fertilisation; save water by employing more efficient irrigation methods; and, critically, spot diseases and infestations at an earlier stage, allowing them to avoid blights.
The UWS filter coupled with software from Strathclyde and Wideblue’s hardware has made this technology significantly more accessible and cost friendlyProfessor Des Gibson, UWS
Combined, the expected benefits of adopting the equipment could have a significant impact on overall crop yield while freeing up additional resource for farmers to concentrate on other priorities.
The consortium has applied for a patent on the overall low cost hyperspectral imaging camera technology which is currently being deployed on a trial basis at a number of locations across the country including the James Hutton Institute, Dundee.
The UWS academics leading the research and development of the optical filter are Professor Des Gibson and Dr Shigeng Song. Professor Gibson said: "While similar technology has been available in the agricultural sector for some time, there has always been the matter of cost.
"In the long term we would like to make the product available on a global scale, particularly in countries such as China, where agricultural investment in greenhouse crop production is quickly becoming the most common method of farming in the agricultural sector."
Russell Allison of grain millers and agricultural merchants Galloway & MacLeod – project partner and technology end user – said: "As technology develops, it is important that agriculture utilises this to full benefit, helping improve input efficiency and maximise returns per hectare. This is where the new HSI camera comes into play.
"Initial cost is lower than similar products on the market, making the technology accessible to a wider range of farms. Moreover, it is anticipated that the camera will bring far more benefits, through earlier management decisions, than currently achievable on growing crops."
The development project was initially joint funded with £500k from Innovate UK and BBSRC, government organisations which work with businesses to support innovation in various sectors. UWS has received an additional £600k in support from Scottish Enterprise to commercialise the linear variable optical filter technology for a wide variety of applications including gas sensing, anti-counterfeiting and hyperspectral imaging. The team are now seeking future projects and funding opportunities to take the technology to the next steps of commercialisation.