Gemini 2.5 Flash
For quick farming questions, many people reach for whatever general assistant they already have access to. This is a general purpose language model, called through a programming interface, that has been measured on a set of agricultural advice questions.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Extension, advisory & education
ACCESS
Paid or approval
DEPLOYMENT
Cloud-hosted
SOURCE REVIEWED
August 23, 2026
What it helps with
- Quick answer to a farming question
- Use an assistant I already have for farm advice
- Fast general model for crop questions
- General model as a starting point for farm advice
- Call a general model from my app
- Compare general assistants on farming questions
Scope & audience
WHO IT'S FOR
Developer / AI builder
AREA OF WORK
Extension, advisory & education
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Buy or be approved first
INTERFACE
API
DEPLOYMENT
Hosted, you call it from your own code
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
Prithvi-EO-2.0-600M-TL
IBM / NASA / Jülich Supercomputing Centre
Models, data & tools
Building crop or land use maps from satellite pictures usually means starting from scratch. This is a pretrained set of model weights for satellite imagery over time, plus code to fine tune it and run it.
Free · Open source
Self-hosted / on-premise · Downloadable
Models & fine-tunes
Prithvi-EO-2.0-600M-TL
monitor-land-climate-sustainability
geospatial-imagery-and-remote-sensing
buildable-or-downloadable-component
models-and-fine-tunes
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
- Build a crop map from satellite pictures
- Map land use without starting from scratch
- Fine tune a satellite imagery model
- Track land change over time from imagery
- Pretrained weights for satellite imagery work
- Classify fields from satellite images
CropGAN
UC Davis Plant AI & Biophysics Lab
Models, data & tools
Every new field, season or camera seems to need fresh labelled images, and labelling is the bottleneck. This is code for a model that generates labelled crop imagery from existing pictures so you can train detectors without annotating again.
Free
Self-hosted / on-premise · Downloadable
Models & fine-tunes
CropGAN
research-develop
seed-genetics-and-breeding
buildable-or-downloadable-component
models-and-fine-tunes
Free
Self-hosted / on-premise · Downloadable
August 23, 2026
- Generate labelled crop images
- Train a crop detector without labelling again
- Reuse labels across fields and seasons
- New camera means new labels problem
- Code for generating crop imagery
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.