Hyperspectral imaging analytics
for AI-driven decission making in agriculture
At the core of our solution is an innovative plant stress recognition and analysis technology developed using Machine Learning and Neural Networks.
By using these Artificial Intelligence technologies, the analytics system is trained to identify complex data patterns and recognize various plant health indicators.
The technology allows to make reliable assessments on the status of various crop plants and discern factors causing their stress – lack of specific nutrients, suboptimal soil conditions, weeds, pests and diseases, etc.
All the results are displayed on a map that user can interact with: change visible layers, merge data, analyse raw spectra, etc.
Food Integrity
& Product
Authenticity
solutions
Stop Fake Food combines the newest scientific and technological achievements to offer an innovative solution of on-site food authenticity and quality testing.
Raman Spectrometry
While spectrometry engineering is advancing at rapid speeds, our innovative analytics is enabling wide Raman spectrometry applications for questionable food product and beverage testing throughout different stages of their supply chains.
AI & Machine Learning
Our innovative analytics uses Machine Learning, Neural Networks and other advanced Artificial Intelligence technology methods to learn complex data patterns and recognize key food authenticity and quality parameters, all in a matter of minutes.
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