[Dataset] UAV multispectral vegetation indices and texture features for predicting plant organ-specific Nitrogen content

This dataset supports the study published in Wang F et al., 2025, which developed machine learning models to estimate nitrogen content in winter wheat using UAV-based multispectral data.

The data includes:

• Forty-three multispectral vegetation indices (VIs) and forty texture features (TFs)
• Field measurements of plant nitrogen content in two field trials
• These data were collected in 2021 and 2022, with DJI P4 MS and Micasense, respectively
• original images and organ specific nitrogen data will be available on request.

📦 Download:

[Dataset]. Zenodo. https://doi.org/10.5281/zenodo.13732404

📄 Citation:

Wang F., Zhang J., Li W., Liu Y., Qin W., Ma L., Zhang Y., Sun Z., Wang Z., Li F. & Yu K. (2025). Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing. Precision Agriculture, 26(2), 40. https://doi.org/10.1007/s11119-025-10234-4