AI Case Study
Beck's Hybrids is predicting the highest-yielding corn seeds from more than 30,000 genetic possibilities using an AI powered modeling engine
Beck's Hybrids is leveraging an AI-powered engine to analyze large amounts of data on sun light, rain, location, terrain, to determine which corn breeds and which conditions will produce the highest yields.
"Beck's Hybrids, which competes with the much larger Monsanto, DuPont, Land O' Lakes, Syngenta and other precision agricultural providers, is using an AI product to analyze large amounts of data to determine which corn breeds and which conditions will produce the highest yields. The company’s geneticists need to know how sun light, rain, location, terrain and could affect growth and profits for the more than 30,000 different types of seeds it offers. In testing, the company's five corn breeders collect 3,000 to 5,000 data points from combines, weather stations, DNA marker labs and drones for each 20-foot strip of land, according to Brad Fruth, information systems manager of Beck’s Hybrids. While data collection is plentiful, deriving insights from that data is another story."
R And D
Proof of concept; results not yet available
"Nutonian's proprietary A.I.-powered modeling engine, Eureqa, analyzes vast amounts of structured data billions of times per second to build the most accurate and actionable models."
"Nutonian’s Eureqa product works its magic by starting with a series of independent variables and a dependent variable that we are trying to predict. Using a proprietary blend of advanced statistical techniques within an evolutionary search process, Eureqa industrializes the discovery and creation of predictive models."
Large amounts of data on sun light, rain, location, terrain.