ISU collaborates with Flurosat to test a new integrated crop modeling + remote sensing N management tool

July 15, 2020

 

Iowa State University (ISU), the USA’s leader in agricultural modeling, and FluroSat, a world leader in agronomic decision support and remote field sensing, have announced their collaboration through a research project to advance predictability of N management.

The collaboration is structured around the APSIM model as both FluroSat and ISU are using this crop simulation framework. ISU as a member of the APSIM Initiative, brings expertise on cropping systems modeling and experience on modeling nitrogen in US environments. FluroSat brings advanced remote sensing capabilities and analytics at the sub-field level. With ISU’s knowledge and resources, the goal is to advance the science of informing in-season Nitrogen management decisions

This application, available only through the FluroSense cloud platform, will bring together ISU’s new advances in modeling soil water availability in the US Corn Belt and FluroSat’s unique implementation of the APSIM crop modelling simulator.  

The Company’s collaboration with ISU is another example of FluroSat’s track record in leveraging the world’s most proven crop science to help the industry reduce waste and improve productivity.

“When it comes to nitrogen and yield management,” shared Dr Anastasia Volkova, FluroSat founder and CEO“ it is probably the most time-sensitive but also data-intensive agronomic decision that often takes place in a matter of days or even hours after looking at a weather forecast and deciding to make an application. The time-pressing nature of this decision calls for automation- not only of importing field history into the modeling tool, but also pre-setting the model with the right local soil water and nitrogen parameters, so when the user needs the nitrogen recommendation, it is ready to go.”

Iowa State University’s research has improved the performance of the APSIM model for US environments, especially with regards to simulation of rooting depth and crop yield response to precipitation, both key features for N cycling and management. Recent publications have demonstrated the high prediction and explanatory power of the model in the USA. The ISU team that includes Professors Archontoulis and Castellano bring experience and expertise in modeling, crop, and soil science.

“We are very excited to collaborate with Flurosat and see our state-of-the-art methods reaching agricultural community. This collaboration brings a unique opportunity to explore the combined power of cropping system models and remote sensing at scale” - said Professor Archontoulis.

As a result of this collaboration, already this season, FluroSat’s customers including many leading agricultural input providers (Syngenta, Nutrien, Growmark, Frenchman Valley Coop, and others) will get access to advanced nitrogen management tools through FluroSat’s agronomic analytics engine FluroSenseTM .

To request access to FluroSenseTM and the near-real-time automated nitrogen recommendations, email hello@flurosat.com.