Claim · model-written summary
The authors conclude that precision management is needed to improve vigor uniformity.
VitisNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“grapevine”
e1“the need for precision management to improve vigor uniformity”
Title
Assessing spatial and temporal patterns of grapevine vigor and yield using satellite remote sensing
Daniel Kingsley Cudjoe; Yazhou Sun; Justin Scheiner; et al. Frontiers in Horticulture 2026. doi:10.3389/fhort.2026.1816162
Other claims from this paper (12)
- Observation Grapevine vigor showed significant variability within the commercial vineyard.
- Observation High-vigor vines showed greater cane length, pruning weight and clusters per vine.
- Observation Spatial autocorrelation analysis showed significant positive clustering for cane length, pruning weight and clusters per vine.
- Observation Cane diameter and cluster weight showed weak spatial autocorrelation.
- Observation Grape yield and berry weight showed weak spatial autocorrelation.
- Observation Pruning weight showed the most significant relationship with grape yield.
- Method / resource PlanetScope and Sentinel-2 vegetation indices captured similar phenological patterns and spatial and temporal dynamics of grapevines.
- Method / resource PlanetScope, with its higher spatial resolution, provides greater sensitivity to subtle variability across the vineyard than Sentinel-2.
- Method / resource NDVI and EVI showed comparable performance at distinguishing spatial and temporal differences among vine vigor zones.
- Method / resource NDVI and EVI were more effective at detecting spatial and temporal vine vigor variability during mid-to-late seasons than during early seasons.
- Method / resource Vegetation indices showed strong correlations with vine vigor traits during the mid-to-late seasons.
- Method / resource Vegetation index correlations with grape yield and yield components were low.