The Sagitto Blog

What we've learned from applying machine learning to spectroscopy data.

Variety Matters When Testing Apples With NIR

Innovations in chip-scale sensors and NIR LEDs are creating exciting opportunities for consumers to accurately measure fruit quality with tiny, inexpensive spectral devices. We have demonstrated that we can build robust predictive models for a wide range of apple varieties.

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The Problem With Carbon Black

Carbon black is a common black pigment, traditionally produced from charring organic materials such as wood or bone. It appears black because it reflects very little light in the visible part of the spectrum.

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70 Bars of Chocolate Later

Just for fun, we tested 70 different bars of chocolate using our hand-held NIR spectrometer and a tiny NIR spectral sensor from ams-Osram. Here's what we found.

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Data Science

Are We There Yet?

When building a machine learning model, our customers often ask "How much training data will we need?" It's rather like kids in the back seat of the car on a long journey, asking how much further until we get there?

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