Our new nitrogen management product offerings provide farmers confidence to know they're prioritizing efforts and inputs on the acres and zones with the most potential.”Īs an example of the improvements made to the Granular crop model, the root mean square error (RMSE) of soil temperature estimation has been reduced by over 50% this results in soil moisture and temperature simulations more closely matching actual measurements, ensuring that nitrogen conversion, movement and uptake are calculated properly. “If you assume a field has an average of 20 decision zones, our model runs 400 simulations a day for that field alone. “142 site-years of data and 10,151 experimental units (experimental unit = one field plot) have been used to fine tune this model,” shares Bob Gunzenhauser, Agronomy Science Manager at Granular. The model has been enhanced for improved accuracy this season with the most cutting edge nitrogen research from recent on-farm trials and regional trials in partnership with eight universities. The model simulates both the growth of a plant and the soil processes given four inputs: weather, soil, management practices and crop genetics. Initially developed in 2013, this data-driven algorithm is a comprehensive system that simulates corn crop growth throughout the season, empowering farmers and their advisors to make timely and informed decisions as the growing season unfolds and changes.
GRANULAR INSIGHTS SOFTWARE
JOHNSTON, IA – Novem– Granular, the world’s leading Farm Management Software (FMS) and wholly owned subsidiary of Corteva Agriscience, today announced the release of new digital nitrogen management offerings to help farmers and their advisors optimize their nitrogen inputs and make confident, data-driven decisions amid soaring fertilizer prices.Īt the core of these new offerings is the proprietary Granular crop model.
0 kommentar(er)
