How does GrainHub Calculate Planted Area?
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Each farm field is assigned a crop using an approach that varies over the course of the year.  Pre-season associations are based on crop rotation patterns.  The associations are updated midway through the growing season to determine the crop type based on analysis of multi-spectral satellite data.  After the season is complete the USDA releases

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How does GrainHub Calculate Yield Forecast?
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Yield forecasts are produced using an ensemble of machine learning-based models that translate weather conditions, soil conditions, USDA crop condition reports, as well as various other data and metadata into forecasted crop yields at the county level.  These county-level yield forecasts are then disaggregated across all fields hosting that same crop within the county using

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How does GrainHub Calculate Abandonment?
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Abandonment is forecast using machine learning models that draw associations between weather/soil conditions, crop condition ratings and satellite data and county-level crop abandonment rates published by the RMA.  Since it is not known which specific fields will be (or were) abandoned, the impacts of crop abandonment are only quantified at the draw area level.  As

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How does GrainHub Calculate Production?
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Draw area production is calculated by summing field-level production within the draw area and then reducing that based on the reported or predicted rate of crop abandonment.  Field-level production is calculated simply as the field acreage multiplied by the corresponding fields expected yield. 

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How does GrainHub Calculate Inventory (currently only on-farm inventory)?
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This figure is the estimated amount of the selected crop being held as on-farm inventory. Inventory is assigned to each farmer’s bins based on a combination of the volumes of various crops the farmer has grown in the most recent crop year and propensity-to-store data based on statewide allocation of the available storage space (as

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