Incredibly
IMPRECISE
SETTINGS
Up until now, farmers have either used a fertiliser in which different nutrients are processed according to a fixed formula, or they’ve had an individual mixture put together. The problem with mixed fertilisers is that there are no settings enabling the fertiliser spreader to distribute the nutrients optimally across the farm fields. This task has now been taken on by a special app developed by Prof. Dr. Hans-Werner Olfs and his team at Osnabrück University of Applied Sciences.
PRECISE
ANALYSIS
To find a viable solution to this issue, the team used mixed fertiliser in spreading tests, examined the quantity and distribution, and took photos of the individual fertiliser grains. On this basis, they jointly developed a software programme for evaluating each individual grain. The results were then entered into a database, which was used by artificial intelligence to learn. This artificial intelligence achieved a hit rate of 80% in analysing the fertiliser. Better still, it continues to learn.
PRECISE
DISTRIBUTION
An app out in the fields: In practice, the process will later look something like this: Spreading mats will be laid out, onto which the fertiliser will fall. Photos will be taken of these mats and the app will then analyse the fertiliser quantity and its distribution. If the nutrient distribution turns out to be poor, the app will offer recommendations on how to change the setting on the fertiliser spreader to ensure optimal distribution. The results will be not only good for farmers, but also for our soil.
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