Detecting fungal disease in crops with multispectral imaging system

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

Multispectral analysis of wheat grain samples for Fusarium infection

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. Analyzing 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 visualization of the Fusarium infection. In just 10 seconds the degree of Fusarium infection will be shown directly in a pseudo-color image – with orange/red areas indicating the degree of infection. This allows the percentage overall infection to be quantified and recorded for each sample.

Citations

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

  • APA

    Analytik Ltd. (2019, June 20). Detecting fungal disease in crops with multispectral imaging system. News-Medical. Retrieved on April 24, 2024 from https://www.news-medical.net/news/20190321/Detecting-fungal-disease-in-crops-with-multispectral-imaging-system.aspx.

  • MLA

    Analytik Ltd. "Detecting fungal disease in crops with multispectral imaging system". News-Medical. 24 April 2024. <https://www.news-medical.net/news/20190321/Detecting-fungal-disease-in-crops-with-multispectral-imaging-system.aspx>.

  • Chicago

    Analytik Ltd. "Detecting fungal disease in crops with multispectral imaging system". News-Medical. https://www.news-medical.net/news/20190321/Detecting-fungal-disease-in-crops-with-multispectral-imaging-system.aspx. (accessed April 24, 2024).

  • Harvard

    Analytik Ltd. 2019. Detecting fungal disease in crops with multispectral imaging system. News-Medical, viewed 24 April 2024, https://www.news-medical.net/news/20190321/Detecting-fungal-disease-in-crops-with-multispectral-imaging-system.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Multispectral imaging system for rapid assessment of uniform and non-homogeneous samples