The Amplituhedron harnesses machine learning to determine ripeness. On a large scale this could be very useful for farmers, restaraunts or markets.
Thanks to our evolved acuity, it is not struggling for us to detect ripeness by the appearance of a fruit or vegetable. However, nowadays, foods are a subject of mass production. Thus, we need a more reliable and effortless method to distinguish fruits and vegetables depending on their ripeness than the naked eye. In the hope of assisting food companies, grocery stores, and farmers in sorting fruits and vegetables, I developed this device that detects ripening stages by spectral color with a neural network model.
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