National Science Foundation’s 2019 SBIR award winner uses machine learning to convert key data into guidance for farmers that helps boost crop yields
The Center for Innovative Technology (CIT) today announced that CIT GAP Funds has invested in Alexandria, Va.-based Agrology, developer of prediction agriculture technology that helps farmers boost crop yields. Agrology’s solution uses machine learning to convert high-quality data into predictive guidance for crop growers that directs them to the right amounts, location and timeframe to apply inputs to their farm for maximized results.
“Over 90% of farmers do not have any sensors or software to guide their irrigation and inputs, a process that is overwhelmingly manual across a majority of farms. As a result, many farmers do not get the coverage they need to monitor the individual micro-climates on their farms,” said Tom Weithman, Managing Director of CIT GAP Funds. “Agrology is meeting a critical market need for the agriculture industry, allowing farmers to achieve maximum profitability across their entire farm while using optimal levels of inputs. CIT looks forward to following Agrology this year as they continue to grow.”
CIT Press 2020