Intelinair, an ag data analytics company and the makers of AGMRI, announce the latest addition to its suite of data analytics for the 2024 crop season – AGMRI Analyze.

AGMRI Analyze monitors nine common yield-limited factors, enabling farmers to pinpoint and understand potential issues that have impacted their yield during the season. This data-driven approach helps farmers make informed decisions for the upcoming crop season, ultimately contributing to improved efficiency and yield potential.

AGMRI Insights, the in-season analytics suite, will continue to be available to inform real-time data-driven decision-making.

“With the addition of Analyze, we have created a more complete data analytics package that farmers can rely on for both in-season monitoring and postseason analytics,” said Tim Hassinger, president and CEO of Intelinair. “Our team identified nine common rate-limiting factors based on feedback from AGMRI users, and we’ve integrated them into this new capability for the 2024 season. By consolidating in-season and postseason analytics into a unified platform, we’re taking real-time and postseason data-driven decision-making to the next level.”

Using AGMRI Analyze to measure emergence impact on yield
Measured emergence helps farmers determine the emergence percentage and how well hybrids or varieties performed. With this information, a farmer can explore which hybrids or varieties had a combination of good emergence and yield and answer key questions for planning for the next crop season.

“If a hybrid or variety had poor emergence but still produced a good yield per 1,000 plants, a farmer can explore varied factors such as soil conditions, soil types, weather, planter speed and other factors that might have limited the emergence potential of those specific hybrids and varieties,” said Conner Schmidt, national sales leader for Intelinair. “If good emergence relative to planted rate exists and a poor yield occurred, then growers may want to reconsider the placement of those hybrids and varieties or possibly eliminate them altogether from their product selection. Other factors to investigate are nutrient deficiencies, disease or crop stress on how they impacted the final yield.”