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)
If it is preventable, why isn't it prevented?
Treating infected plants and fields can be tedious work and is often quite expensive.
The state of the art for pathogen differentiation is either visual detection or analysis in the lab.
Both methods work just fine, but they both also bring their own set of problems...
1. Visual Detection
Visually, some pathogens look the same and even skilled professionals can not differentiate them.
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.
by detecting the responsible pathogen we can save
time effort & money
So... what did we do?
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.
read more about the details:
About us and our project
Design
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