Unlock The Power Of Agricultural Data With Sentera’s New Agronomic Modeling Solutions

Capability accelerates the future of research and product development

Published online: Feb 24, 2023 New Products
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St. Paul, Minn.Sentera, the industry-leading provider of ag analytics, announced the launch of its agronomic modeling solutions platform, FieldInsights Ag Modeling, to deliver predictive tools to customers seeking deeper insight into crop performance. 

“From early prediction of yield to in-season understanding of crop nutrient status, there are plenty of agronomic problems in need of better solutions in the agricultural industry,” said Tyler Nigon, principal scientist, Sentera. “Spatial and temporal variability – driven mostly by soil and weather – has a major influence on agronomic outcomes, which makes for a unique challenge with every field and every growing season.” 

To meet the demand for hyper-local model customization in agriculture, FieldInsights Ag Modeling includes three defined product families: 

  • Maturity Date to measure the timing of harvest readiness to help researchers evaluate the performance of germplasm and inform selection and product development decisions.
  • Yield & Quality to forecast end-of-season yield outcomes, providing actionable insight into grain marketing and supply chains for contract crops, vegetable crops, and seed production.
  • Nutrient Status to measure in-season plant-level nutrient sufficiency and response potential for key macro- and micro-nutrient or biological product applications.  

These products can be used to provide a retrospective analysis using historical data, or they can provide real-time predictions or forecasts as new data becomes available. In either case, they enable deeper insights into the agronomic drivers that impact outcomes the most.  

Each product allows agronomists or researchers to select which data to feed their model based on expert knowledge and accessibility to various data sources. Leveraging ground truth data relevant to the agronomic problem to be solved is critical for calibrating agronomic models.  

Data can be either public or proprietary. Examples include weather; soil and topography; management records; drone-, aerial-, or satellite-based imagery; and soil/plant measurements throughout the growing season.  

“These capabilities unlock the power of data beyond aerial imagery,” said Nigon. “As a result, agronomic leaders can focus on their core specialties rather than a daunting statistical analysis, as we work together to meet the productivity and sustainability demands of our ever-changing world.” 

For more information about Sentera’s FieldInsights Ag Modeling, visit https://www.sentera.com/modeling