ai-agent

Agriculture-Vision: Boost Agri AI with a Proven CVPR Dataset

Name: Agriculture-Vision: Boost Agri AI with a Proven CVPR Dataset
Author: SHI-Labs

Leverage the Agriculture-Vision dataset and challenge to train robust computer‑vision models for farming. Ideal for founders building AI solutions in agtech.

From the repo · “[CVPR 2020 & 2021 & 2022 & 2023] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to benefit humanity!”

260 stars41 forksGuide quality 9/10 · reviewed Oct 10Updated 7/27/2024100% free · open source

What it does

Agriculture-Vision is a dataset and prize challenge that helps bring agriculture and computer vision/AI communities together to develop innovative solutions for agriculture using AI-powered computer vision

When to use it

•When you need to develop AI-powered solutions for crop monitoring and yield prediction
•When you're looking for a dataset to train and test computer vision models for agricultural applications
•When you want to participate in a prize challenge to develop innovative agricultural solutions using computer vision and AI

Ready-to-paste prompt

To participate in the prize challenge, submit your solution as a zip file to the `submission` folder, following the guidelines outlined in the `README.md` file

Heads up: Make sure to review the licensing terms and conditions for the dataset and prize challenge, as outlined in the `LICENSE` file and `README.md` file, to ensure compliance with the rules and regulations

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/agriculture-vision && curl -fsSL https://workflowstacks.com/api/skills/agriculture-vision/claude-skill -o ~/.claude/skills/agriculture-vision/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.