Detecting Crop Disease with Multispectral Imaging

The Videometerlab4 Multispectral Imaging System from Analytik now makes it possible to scan crop samples for Fusarium infection in under 10 seconds.

The analytical methodology employed does not require traditional time-consuming sample preparation and eliminates the need for chemicals and costly consumables.

Fusarium is a fungal disease which commonly affects wheat, barley, oats, triticale and grasses as seeds, seedlings and adult plants. The range of symptoms caused by the Fusarium fungus is often referred to as 'ear blights'. Ear blights commonly cause yield loss, but most importantly can cause mycotoxin production in the grain. Mycotoxins are toxic to both humans and animals, therefore the limit on Fusarium presence in crops is enforced under EU law.

Saving both time and money, the VideometerLab 4 has been designed to be very easy to operate. Analysing your crop sample for Fusarium infection can be achieved in 3 simple steps. Take a representative sample and place in a Petri dish, insert the Petri dish into the Videometerlab4 holder and activate measurement.

Using strobed LED technology - the VideometerLab 4 takes 19 images from UV (365 nm) to NIR (970 nm) making it possible to obtain a visualisation of the Fusarium infection. In just 10 seconds the degree of Fusarium infection will be shown directly in a pseudo-colour image – with orange/red areas indicating the degree of infection. This allows the percentage overall infection to be quantified and recorded for each sample.

For a copy of an application note describing Fusarium detection in barley please visit https://bit.ly/2TgQyru . For further information on the VideometerLab 4 please visit https://analytik.co.uk/product/multispectral-imaging-videometerlab-analyser/ or contact Analytik on +44-1954-232776 / [email protected]

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Analytik Ltd. (2019, March 20). Detecting Crop Disease with Multispectral Imaging. AZoM. Retrieved on November 22, 2019 from https://www.azom.com/news.aspx?newsID=50753.

  • MLA

    Analytik Ltd. "Detecting Crop Disease with Multispectral Imaging". AZoM. 22 November 2019. <https://www.azom.com/news.aspx?newsID=50753>.

  • Chicago

    Analytik Ltd. "Detecting Crop Disease with Multispectral Imaging". AZoM. https://www.azom.com/news.aspx?newsID=50753. (accessed November 22, 2019).

  • Harvard

    Analytik Ltd. 2019. Detecting Crop Disease with Multispectral Imaging. AZoM, viewed 22 November 2019, https://www.azom.com/news.aspx?newsID=50753.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Submit