Ames, June 16, 2020 - Iowa State University (ISU), the USA’s leader in agricultural modelling, 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. This integrated approach will eliminate the cumbersome and costly steps of in-field sampling and data entry, enabling daily, one-touch nitrogen prescriptions to ensure maximum accuracy and yield in crop management.
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. Step by step, FluroSat has been building the world’s most automated the end-to-end agronomic decision platform by integrating access to remote sensing, weather and soil information, incorporating leading scientific crop models, and establishing two-way integrations with major agronomy-focused farm management systems (Proagrica, Agrian, Agworld).
When it comes to nitrogen and yield management, 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.
Dr Anastasia Volkova, FluroSat founder and CEO
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.
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 email@example.com.
FluroSat is a full crop cycle analytics provider that delivers early, accurate, and actionable information on crop performance and plant nutrition to crop advisors and agronomists globally. Its analytics engine, FluroSense ™ applies agricultural science, machine learning algorithms, and scientific crop models to data gathered on the farm, and contextualized remote sensing imagery. The products of the crop monitoring and modelling are proactive reports on crop performance and sustainable practices, alerts of crop stress, and recommendation for crop nutrition. FluroSat is monitoring over 7 million acres of arable land in 14 countries globally and supports leading agribusinesses in delivering precision agriculture programs and decision support to their growers.
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