Method / resourcemodel-written summary

The dataset comprises 640 high-resolution field images of soybean and cotton from a commercial farm.

A claim from A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation · 2026

Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

The dataset comprises 640 high-resolution field images of soybean and cotton from a commercial farm.

Taxon
Soybean and cottonGossypium hirsutumGlycine maxe0
Outcome
high-resolution imagese2
Value
640e2
Setting
commercial farme2

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗
Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“Soybean and cotton are major drivers of many countries' agricultural sectors”

✓ located verbatim in the source · abstract, characters 0–76
e2

“we collected 640 high-resolution images from a commercial farm spanning multiple growth stages, weed pressures, and lighting variations”

✓ located verbatim in the source · abstract, characters 581–716

Title

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation

Thiago H. Segreto; Juliano D. Negri; Paulo H. Polegato; et al. Scientific Data 2026. doi:10.1038/s41597-026-07092-8

Other claims from this paper (3)

Record rev-b3778c4c7bfd0c50db2ae802761882f94bbe67fbe1e42f899050491f34b10ebc · schema claims-v0.9 · position 1 in the model’s answer