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Tutorials

Overview​

The Yield Estimation Transformer is a pretrained model for in-season county-level corn yield estimation. It combines temporal weekly weather observations with static soil properties and produces a scalar yield prediction in bushels per acre.

The model accepts six weekly weather variables:

  • prcp
  • srad
  • swe
  • tmax
  • tmin
  • vp

It also uses 66 static soil features defined in config.json.

The model supports prediction cutoffs at:

20, 24, 28, 32, 36, 40, 44, 48, 52

A cutoff determines how many weeks of weather information are available to the model. A cutoff of 52 represents full-season inference.

For deployment through FlexServ, the model uses the Hugging Face text-classification pipeline as its serving interface. This is an interface choice for inference compatibility; the underlying prediction task remains regression.