Difference between revisions of "Team:Duesseldorf"

Revision as of 11:25, 6 October 2021

healthy plants = healthy humans

With the worlds population steadily growing
our demand for food is rising as well.

Soon, there will be 8 billion people to feed.

To meet their demand for food
we will need a more efficient agriculture.

Annual crop yields have already risen to
9.1 billion tonnes in 2018

BUT

a total of up to
40%
of crops are lost due to pests & pathogens
(=preventable circumstances)

Treating infected plants and fields can be tedious work
and is often quite expensive.

by detecting the responsible pathogen
we can save

time
effort
&
money

The state of the art for pathogen differentiation is
either visual detection by trained experts
or analysis in the lab.

Both methods work just fine,
but they both bring their own set of problems…

1. Visual Detection

Skilled professionals can differentiate between
most, but not all, pathologies
due to just visual clues

(Take a look at these two for example, one is caused by xyz and the other one by zyx. )

And what you can see here are already late stages of the infection,
so there has already been a reduction in the yield.

2. Lab analysis

Current lab analysis procedures are only possible when
the infection is already in a late stage (too late to act)

Additionally these analysis can take up to
3(?) weeks,
giving the pathogen even more time to spread.

So...

we researched and developed a modern in-field quick test
which makes it possible for experts to detect different pathogens early enough!

Thus, the farmer can take preventive actions
to reduced the yield loss
caused by these pathogenes.

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