Yield forecasting using crop specific features and growth stages

A method for predicting crop yield of an agricultural field may include steps of applying a pre-season model to provide a pre-season model crop yield prediction, applying an in-season model to provide an in-season model crop yield prediction, applying a statistical imagery model to provide a statist...

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Bibliographische Detailangaben
Hauptverfasser: BENGTSON, Jacob Walker, SCHOLTEN, Keilan, XIAN, Changchi, BRYANT, Chad Richard, CUELL, Charles, ZOHRA, Fatema Tuz
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A method for predicting crop yield of an agricultural field may include steps of applying a pre-season model to provide a pre-season model crop yield prediction, applying an in-season model to provide an in-season model crop yield prediction, applying a statistical imagery model to provide a statistical imagery model crop yield prediction, applying a histogram-based image model to provide a histogram-based image model crop yield prediction, applying crop-specific models to provide at least one crop- specific model crop yield prediction, and combining at a computing system crop yield predictions from a plurality of models within a set comprising the pre-season model, the in-season model, the statistical imagery model, the histogram-based image model, and the crop-specific models, to produce a final crop yield prediction.