Detecting Fusarium Crop Disease With Multispectral Imaging
There are a variety of species of the disease Fusarium, which commonly affects wheat, barley, oats, triticale and grasses. These fungi are responsible for a multitude of diseases on seeds, seedlings and adult plants. Microdochium nivale (formally known as Fusarium nivale) is one example of a seed-borne pathogen which is included in this group of fungi.
The range of symptoms caused by Fusarium species is often referred to as Ear Blights. Ear Blights commonly cause yield loss, but most importantly it causes Mycotoxin production in the grain. Mycotoxins are toxic to both humans and animals, therefore the limit on its presence in crops is enforced under EU law.
The most significant source of Fusarium is the seed. However, the fungus can also survive on small remains of debris in the soil. During wet seasons, spores of the disease are transmitted from the lower canopy, causing a spike in blights and seed-borne infection. Because of this, crop establishment comes under serious threat, unless the Fusarium can be identified and treated.
Detecting Fusarium with Multispectral Imaging
The Videometerlab4 Multispectral Imaging System now makes it possible to scan crop samples for Fusarium infection in 10 seconds. This method does not require sample preparation, eliminating the need for chemicals and costly consumables.
Saving both time and money, the VideometerLab 4 is easy to operate – in just 3 simple steps:
1. Put a representative sample in a Petri dish.
2. Insert the Petri dish in the holder.
3. Activate measurement The degree of Fusarium infection will be shown directly in a pseudo-colour image – with orange/red areas indicating the degree of infection.
Together with the pseudo-coloured image the infection is also calculated as the relative area of infection. Behind the easy user interface is a high-performance spectral imaging system in which 18 images from ultra blue (405 nm) to NIR (970 nm) makes it possible to obtain a visualisation of the Fusarium infection.
To find out more about the VideometerLab 4, click the button below.