A Multimodal RGB and N-Sensor Dataset for Nitrogen Assessment in Winter Wheat

Beschreibung

Crop nitrogen status assessment is essential for site-specific fertilization in cereal production. While established methods rely on specialized canopy sensors or multispectral UAV systems, consumer smartphones offer widely available RGB cameras whose potential for quantitative crop monitoring remains insufficiently explored. This paper presents a multimodal dataset from a winter wheat field experiment comprising ten fertilization variants with four replications each. The dataset includes ground-based measurements from a Yara N-Sensor (NDVI, NDRE), UAV-based RGB orthophotos with derived vegetation indices, and 1197 unprocessed RGB images acquired using three commercially available smartphones. All data are aggregated at the plot level and linked to known nitrogen application amounts. The dataset supports research on RGB-based nitrogen estimation, cross-sensor comparison, and data-driven modeling, providing a structured benchmark for accessible and cost-effective crop monitoring approaches.

Autor*in

Lukas Pindl

Themen in »A Multimodal RGB and N-Sensor Dataset for Nitrogen Assessment in Winter Wheat«

Nitrogen Status Assessment Winter Wheat RGB Imagery UAV Remote Sensing Proximal Crop Sensing Vegetation Indices Multimodal Dataset Precision Agriculture

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