With MATT, our team tries to provide a single, one time solution to the core problems of crop quality assessment. MATT comes with the path-breaking ability to assess a crop sample in under a minute, which is 10 times faster than a skilled chemist, and produces results that are more reliable and repeatable. MATT has been designed keeping in mind the problems of agriculture trading in India.We address problems like farmers not getting correct prices, traders getting inappropriate products and exporters being unsure of product quality.
MATT has been designed to operate in low-resource conditions similar to those found in Indian mandis. It has a low power requirement and can function offline as well.
MATT uses advanced computer vision and deep learning algorithms to classify grain samples and produce results as per AGMARK, BIS or any other standard.
MATT has been designed to seamlessly connect with any service over a network. It can be connected to an emandi, commodity exchange or any such internet portal.
MATT cuts down assaying time by more than 90% when compared to manual assaying procedures and produces reproducable results that are inherently reliable.
From user interface to report generation, MATT provides built in support for Indian languages.
MATT’s framework has been designed to grow exponentially. Addition of new crop or new quality parameters is seamless.
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