Quality controls for agricultural products are a nightmare throughout the entire commercial chain, from producer to consumer, through intermediaries, transporters, supermarkets or restaurants, not to mention potential border crosses. Large quantities of fruit and vegetables are thrown away at each of these stages. To respond to this logistical conundrum, Indian agtech startup Intello Labs has developed a solution using Deep Learning and Computer Vision to identify damaged food products with precision. Images of food products taken using an employee smartphone or a camera installed on a vehicle are processed using algorithms. These algorithms identify each product unit and classify it by size, colour, form, state and defects. The results are then aggregated, and a quality score is given to the batch which has been analysed. The entire process takes a few seconds to a few minutes, depending on the goods being examined.