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India: AI model to separate low-quality food produce from the market

Many Indians are worried about the quality of the vegetables and fruits they buy. Pesticides and other agri chemicals are factors of concern as well. That is why Amazon India had plans to use advanced Computer Vision, ML and AI technologies to manage the quality assurance of fruits, vegetables and other farm produce. A model like this could recognize defects such as cuts and scratches on tomatoes and onions when they have gone wrong.

The system used a mix of CNN and ViT algorithms. Computer Vision was used to detect cuts, cracks, pressure damage and more. The tech had deployed tomatoes and onions in Amazon stores in India and Europe. They planned to enhance the model to grade the product moving on a conveyor belt automatically.

According to Neolithic's CEO Amir Adamov, packing houses are the last systematic link to look at the quality before products are read by consumers. However, their analysis is not sufficient. The Neolithic software could observe production and analyze its internal and external aspects.

Now, a model similar to Amazon's is being developed to detect the freshness of fruits and vegetables. New software can analyze every product aspect before reaching supermarket shelves. It can determine the product's shelf-life.


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