CGIAR Agriculture Videos QnA2
CGIAR
Turning recorded farm training into something a model can learn from takes work. This is a downloadable set of question and answer records drawn from agricultural videos, for training or for checking answers.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Datasets & corpora
AREA OF WORK
Extension, advisory & education
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- Question and answer pairs from farm videos
- Reuse recorded farm training for a model
- Check assistant answers against video advice
- Turn farm video content into training data
- Ground a farm bot in advisory videos
- Training records from agricultural recordings
Scope & audience
WHO IT'S FOR
Extension & educator · Developer / AI builder
AREA OF WORK
Extension, advisory & education
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Model download / weights · Code repository
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
Explore more like this
Project-AgML/iNatAg
Project AgML
Models, data & tools
Researchers building plant recognition tools often run short of labelled images across many species. This is a very large photo collection drawn from a nature observation project, covering thousands of crop and weed species with species labels.
Free · Open source
Self-hosted / on-premise · Downloadable
Datasets & corpora
Project-AgML/iNatAg
diagnose-protect-assure
crop-protection-and-plant-health
buildable-or-downloadable-component
datasets-and-corpora
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
- Identify a plant species from a photo
- What crop or weed is this
- Large labelled photo set of plant species
- Train a plant recognition tool
- Images covering thousands of crop and weed species
- Test species identification across many plants
DigiGreen/RAG-Chunk-Analysis
Digital Green
Models, data & tools
When an assistant looks things up in documents before replying, how the text is cut into pieces matters. This is a downloadable dataset used to examine those text chunks, published with code for people building such systems.
Free · Open source
Self-hosted / on-premise · Downloadable
Datasets & corpora
DigiGreen/RAG-Chunk-Analysis
build-integrate-ai
agrifood-data-and-ai-infrastructure
buildable-or-downloadable-component
datasets-and-corpora
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
- Why does my farm assistant miss document answers
- How to split documents for a lookup assistant
- Test how chunk size affects answers
- Data for checking document search quality
- Build an assistant that reads farm documents
- Compare chunking choices for retrieval
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.
