Iowa State University Research Foundation Inc

Agco Corporation

Matthew Schramm

John Peterson

Jeffrey Michael Zimmerman

H Mark Hanna

A system and method for predicting a future wind direction and speed and, based thereon, determining a future wind-driven drift and providing the information to an operator or automatically acting to adapt application parameters to better control the wind-driven drift of a fluid during application of the fluid to land or crops by an agricultural machine. A processor receives machine and meteorological data, uses a model to predict the future wind direction and speed, and accesses a drift distance database to determine and visually depict the future wind-driven drift of the fluid. A sensitive area database stores information about sensitive areas bordering the target area, which may also be displayed, to facilitate controlling the wind-driven drift with regard to the sensitive areas. The mathematical model may be a kernel filter, an autoregressive model, an autoregressive integrated moving average model, or a hybrid model which incorporates features of different models.

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Ames, IA, United States of America

Matthew Schramm