This dataset supports UAV-based soybean genotype performance analysis under contrasting pest management conditions (Controlled and NoControl). It contains orthomosaic-derived plot-level imagery for multi-temporal phenotyping across six time points.

Data Sources and Preprocessing

Raw UAV RGB imagery was processed externally using WebODM to generate georeferenced orthomosaics. Plot boundaries were delineated in QGIS with RTK/GCP support. This repository provides processed assets for reproducible analysis.

Dataset Structure

orthomosaic/
- control/
- nocontrol/

Experimental Design

2 field conditions: Controlled（insecticide） and NoControl（insecticide）
30 soybean genotypes
3 replicate blocks per condition
6 UAV time points（orthomosaics）

Intended Use

This dataset is intended for:

crop phenotyping research
soybean breeding analytics
cross-condition canopy similarity analysis
reproducible benchmark experiments with VI and DINOv3 features

Limitations

Orthomosaic generation and manual plot delineation were conducted externally.
Environmental and management conditions are specific to one season and location.

Code Availability

Analysis code is publicly available at: https://github.com/jianglong26/soybean-insect-resistance

Paper Status

Associated manuscript: under review at Nature Food. Citation details will be updated after publication.

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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