Abstract
This study set out to examine the effective utilization of operation data for agricultural cloud computing analyses and the creation of a simulation map for the amounts of agrochemical sprayed by a tractor to estimate the wind speed in a field. This estimation was based on the tractor trajectory and wind data obtained from an ultrasonic anemometer mounted on the roof of the tractor cabin. The wind data was applied to a model of the spray drift pattern for each nozzle, as measured in a wind tunnel at wind speeds of 0–3 m/s, such that a simulation map could be created. Eighty sheets of water-sensitive paper were placed in the field to enable the creation of an actual spray distribution map, against which the simulation results could be evaluated. There are some characteristic change appear on both maps and the results exhibited a correlation of 0.79. Therefore, the simulation was proven to be a viable means of evaluating the
