Recommendationmodel-written summary

The authors propose the model data fusion approach for guiding adaptive cover crop and nitrogen fertilizer management.

A claim from A Model–Data Fusion Approach for Predicting Cover Crop Nitrogen Supply to Corn · 2016

Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors propose the model data fusion approach for guiding adaptive cover crop and nitrogen fertilizer management.

Outcome
adaptive management of CCs and N fertilizer applicationse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the model–data fusion approach could be widely used to guide adaptive management of CCs and N fertilizer applications in a subsequent corn crop”

✓ located verbatim in the source · abstract, characters 1508–1651

Title

A Model–Data Fusion Approach for Predicting Cover Crop Nitrogen Supply to Corn

Charles M. White; Denise M. Finney; Armen R. Kemanian; et al. Agronomy Journal 2016. doi:10.2134/agronj2016.05.0288

Other claims from this paper (8)

Record rev-3d0f643a35969e48cb983098579cb3147943c0d73c407e31e80e228902d32880 · schema claims-v0.9 · position 9 in the model’s answer