Vegetation Indices

[Dataset] UAV multispectral vegetation indices and texture features for predicting plant organ-specific Nitrogen content
This dataset includes UAV-based multispectral vegetation indices and texture features and also field nitrogen measurements of plant nitrogen content used in the paper by Wang F. et al. (2025) in Precision Agriculture.
Last updated on Apr 30, 2025 Data
Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering detailed, real-time insights into plant health …
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Meta-analysis assessing potential of drone remote sensing in estimating plant traits related to nitrogen use efficiency
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering detailed, real-time insights into plant health …
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Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that vegetation indices (VIs) often saturate from …
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Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices
Spectral indices rarely show consistency in estimating crop traits across growth stages; thus, it is critical to simultaneously …
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