Abi Ramanan describes how hyperspectral imaging and machine learning could change the future of food production, drastically reducing waste and increasing consumer satisfaction
Sorting it out Hyperspectral imaging can augment or replace the time-consuming, costly and imperfect visual inspections currently used to sort food by ripeness and keep contaminants out of production lines. (Courtesy: iStockphoto/erdemeksi)
If wasted food were a country, it would be the world’s third-largest emitter of greenhouse gases.
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Abi Ramanan is the chief executive officer and co-founder of ImpactVision, a California, US-based company using machine-learning and hyperspectral imaging technology to reduce waste, maximize yields and improve quality in food supply chains, e-mail abi@impactvi.com