Grain quality assessment in the new age. GRAMS-M10 mobile app for accurate grain analysis
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| Authors & editors | |
| Publisher | Milling & Grain |
| Year of publication | 2023 March |
| Languages | |
| Medium | Digital |
| Edition | 1 |
| Topics | |
| Tags | |
| Scope & content | By Dr. Punita Agarwal, Co-founder of Inweon, India We are in the age of artificial intelligence, the internet of things, and cloud computing. Yet until a few years ago, all trade decisions of a farmer was dependent on manual analysis (done by supposedly skilled and trustworthy personnel). Let it be selling their grain produce of certain quality to a trader, government agency, food company or a grain warehouse monitoring grain quality at regular intervals, input and output or an agri commodity trader price negotiation based on quality – took half an hour, was error-prone, with no visibility or accountability into the whole process. The grain agri-trade is driven by two factors; Commodity exchanges, that govern market conditions of supply and demand and the next is Quality grade and variety of the grain, governed by physical and chemical testing. In this article, we will talk more about the process of physical testing of grains and how new technologies like machine learning and cloud computing are disrupting it. There have been recent investments in the agriculture space (called agritech). Most start-ups aim to connect to farmers through the web and help them with farm inputs procurement, information, and advisory. These start-ups also claim to get the farmer's produce sold at a better price. The vision of digitizing the agri supply chain needs automated and digital grain quality assessment. GRAMS-M10 supports physical quality refractions for multiple commodities, including rice, wheat, soybean, corn, all types of pulses, etc. The process of operating and measuring quality is straightforward and can be done in three easy steps: Random sampling to make a 20 to 100 grams sample Spread the sample on a flatbed scanner Open the GRAMS-M10 mobile app and click 'Scan.' Read about: How does the system work? Who is it aimed for? What analysis does the system provide? Is the system calibrated and reflects similar results for similar grains from various locations? Way Forward |
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