Claim · model-written summary
NDVI K-means delineated sunflower subfield yield variability early.
- Taxon
- sunflower crop
Helianthus annuust0 - Outcome
- subfield crop spatial and temporal yield variabilitye0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“sunflower crop”
e0“the k-means algorithm has early delineated the subfield crop spatial and temporal yield variability.”
Title
Stefano Marino Heliyon 2023. doi:10.1016/j.heliyon.2023.e19507
Other claims from this paper (9)
- Observation Sunflower achene yield ranged from 1.3 to 3.77 t ha −1 with significant within-field variability.
- Observation Hand-sampled cluster 1 had mean achene yield of 3.54 t ha −1.
- Observation Hand-sampled cluster 2 had mean achene yield of 2.98 t ha −1.
- Observation Hand-sampled cluster 3 had mean achene yield of 2.07 t ha −1.
- Method / resource The best subfield identification period ran from inflorescence development to fruit development.
- Observation Cluster 1 covered 42.4% of area and 50% of achene yield.
- Observation Cluster 2 covered 35% of both surface and yield.
- Observation Cluster 3 covered 22.2% of area and 15% of achene yield.
- Method / resource Sentinel-2 NDVI K-means delineated sunflower subfield areas.