CropDeep
Nanjing Agricultural University and partners
Spotting and naming crops and pests in greenhouse images needs varied labelled examples. This is a published crop vision dataset for classification and detection, described in a peer reviewed article.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Datasets & corpora
AREA OF WORK
Agronomy, soil & crop management
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 23, 2026
What it helps with
- Identify crops and pests in greenhouse images
- Labelled crop vision data
- Train a crop detection model
- Varied images for classification work
- Test a detector on greenhouse photos
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Agronomy, soil & crop management
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Dataset download
DEPLOYMENT
You run it yourself
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
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