It’s an old saying that electronics and durable goods don’t mix,
and nowhere is this more true than a 7 year old dashboard display with some Garmin map in your old Acura. You have to stop the car to program it one letter at a time, the roads need to be updated every year, they don’t take into account whether it’s midnight or rush hour, and certainly no road closures or accidents. Still, you plug in the destination and it tells you one route to get there, and a plausible estimate of how long it will take. Believe it or not, Uber and Apple navigation still work this way, without updating the timeline or route based on changing traffic conditions. The route is the route.
In agriculture, this mode of forecasting is about 10% of producers. It’s based somewhat on your local conditions but is cumbersome to use operationally. Forecasts may be based on varieties that are no longer even available (recall that the lifetime of a hybrid variety is just 4–7 years). Determining a forecast is probably based on an online degree-day calculator
that through a convoluted series of dialogue boxes has you select a crop, perhaps a nearby weather station and delivers a hard-to-interpret table. The next time you check, you have to enter all the data again, there is no persistence. At best, there are research tools that take in satellite data up to the present date and use these to nudge the initial conditions of the model, but they are not using these to alter the coefficients that (say) turn sunlight into new biomass.