Agricultural technology company AGROS 4.0 has unveiled an expanded global model with improved accuracy for yield and credit models up to 95 per cent accuracy
AGROS 4.0 now features more than 30 individual datasets varying from evapotranspiration, gross revenue, sustainability, and more. The new predictive model allows users to benchmark field-level metrics locally, regionally, and globally to better understand performance and risk factors. Additional customisation allows for data layering through a beautifully redesigned user interface.
The AGROS model differs from other field technologies on the market that simply repackage existing metrics through a digital interface. AGROS utilises algorithms and satellite analysis to leverage both proprietary data and public data to create a forward-looking risk management solution.
“Most models do really well in normal conditions,” said Mutlu Ozdogan, founder and chief scientist at Agrograph. “The AGROS model produces low root mean square error (RMSE) even with extreme events, meaning our model is accurate in predicting the right yields on the right fields anywhere in the world.”
Featured product offerings include
AGRO Risk ScoreTM – Standardised farm-to-farm creditworthiness rating
AGRO Volatility IndexTM – In-Season and historical field-level yield analysis
AGRO Sustainability ScoreTM – Custom index of environmental management practices and energy use at the field level
Field Readiness IndexTM – Soil moisture-based index to predict ideal planting conditions
AGRO GRAASTM – Livestock carrying capacity model measuring on-the-ground biomass
“Corporate lenders, mortgage companies, or insurance agencies have objective third party datasets like FICO scores and credit reports, something that did not exist for agriculture,” said Jim O’Brien, co-founder of Agrograph. “Our technology is designed to help the agricultural industry make these same advancements in automation and accuracy and to invest and empower farmers across the globe.”