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It is the analysis of a material such as a plant leaf or grain crop using near-infrared spectroscopy to detect quality parameters such as protein content, or for the detection of pathogens. We can also use this technology to detect the cultivar of seeds or seedlings. We are working hard to automate this process so that you can build your own models just by uploading your data and following a few simple steps.
Frequai uses the power of artificial intelligence. Upload your spectral data for a list of existing crop models using our inferencing desktop client, and then get an instant result from existing prediction models.
A mobile app for Android is coming soon, and you'll be able to work in the field.
Alternatively let us help you develop a prediction model. No expertise required.

