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Thank you to the Pennsylvania Liquor Control Board for supporting our efforts to make computer vision available to grape growers in Pennsylvania and beyond. |
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Note that computer vision is still in its infancy – especially in viticulture. Please use the resources provided in this guide with a grain of salt. Use common sense and always be sure to validate any data you collect by checking the accuracy of its results. |
If you find yourself on these pages, it must mean one thing: most likely means you want to use images and videos in your vineyard to automate the process of identifying and counting things. What things? That’s up to you, but we have trained several models tuned ! This guide includes instructions for both leveraging models we trained to count early-stage grape clusters as well as ways that you can train and deploy your own custom models.
The following documents aim to arm you with the tools necessary to explore potential uses of computer vision on your vineyard. While computer vision is complex and nuanced, our hope is that these resources are as straightforward and easy-to-follow as possible. We consider these to be working documents and will update them as we receive feedback and generate new vineyard models. Please do not hesitate to reach out with any questions or ideas you may have. We look forward to seeing what you build!
Common Types of Computer Vision
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In this guide we will be focusing primarily on the creation and deployment of object detection computer vision models using freely available tools. We split this guide into the following sections:two sections: 1.) ready-to-use models for early-stage flower cluster object detection, and 2.) tools for creating your own custom models.
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