Kimi K2 Thinking
Moonshot AI
Working through a layered farm problem takes more than a one line answer. This is a general purpose language model built for step by step reasoning, available through a programming interface, that has been tested on agricultural advice questions.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Models & fine-tunes
AREA OF WORK
Extension, advisory & education
ACCESS
Free
DEPLOYMENT
Cloud-hosted · Downloadable
SOURCE REVIEWED
August 23, 2026
What it helps with
- Work through a layered farm problem
- Get more than a one line farm answer
- Step by step reasoning on crop questions
- Reasoning model tested on farm advice
- Explain a farm decision in stages
- Compare reasoning models on agricultural questions
Scope & audience
WHO IT'S FOR
Developer / AI builder
AREA OF WORK
Extension, advisory & education
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
API · Model download / weights
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
Sinong 司农 1.0 (8B and 32B)
Nanjing Agricultural University + Nanjing University of Science and Technology, China
Models, data & tools
Chinese farming questions span horticulture, plant protection, breeding and rural economics, and general models have read little of that writing. These are downloadable language models in two sizes trained on billions of words of Chinese agricultural literature, released with code.
Free
Self-hosted / on-premise · Downloadable
Models & fine-tunes
Sinong 司农 1.0 (8B and 32B)
research-develop
research-and-scientific-knowledge
buildable-or-downloadable-component
models-and-fine-tunes
Free
Self-hosted / on-premise · Downloadable
August 23, 2026
- Ask farming questions in Chinese
- Horticulture and plant protection questions in Chinese
- Model trained on Chinese agricultural literature
- Rural economics questions for China
- Download a Chinese agriculture language model
- Two model sizes with code
florence-2-auto-crop
Wi-zz
Models, data & tools
Preparing image sets often means trimming away watermarks and clutter one file at a time. This is a code tool that uses an open image understanding model to crop pictures automatically while keeping as much of the original as it can.
Free · Open source
Self-hosted / on-premise · Downloadable
Models & fine-tunes
florence-2-auto-crop
build-integrate-ai
agrifood-data-and-ai-infrastructure
buildable-or-downloadable-component
models-and-fine-tunes
Free · Open source
Self-hosted / on-premise · Downloadable
August 17, 2026
- Crop watermarks out of a batch of images
- Trim clutter from photos automatically
- Prepare an image set without editing each file
- Automatic cropping for training pictures
- Clean up images before training a model
Is this your Resource?
Contact us to claim this listing and add details, screenshots or a demo.
