Computer Vision forAgriculture
From sprawling fields to granular plant-level imagery, machine learning datasets for agriculture can grow to petabytes of data. FiftyOne helps you find the exact samples you need for accurate model training, smart annotation, model evaluation, and more.
AI computer vision solution for smart agriculture
Building better agriculture AI, faster
Leading agriculture teams rely on FiftyOne to build and scale visual AI systems across their full workflow; from data curation to model evaluation. Move faster, improve model performance, and deliver real-world crop impact.
0%
increase in model accuracy
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months of development time saved
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boost in team productivity
Machine learning in agriculture events
From industry meetups to 90-minute technical workshops, join our virtual events led by our ML agriculture experts.
Features for machine learning in agriculture
Designed with ML agriculture teams in mind
FiftyOne natively supports and enables the computer vision building blocks needed to develop robust AI solutions for smart agriculture.
- Classification
- Detection
- Segmentation
- Polygons and polylines
- Keypoints
- Pointclouds
- Heatmaps
- Geolocation
- Embeddings
- Multiview datasets
- Images, videos, and 3D data
Resources for computer vision in agriculture
Discover how visual AI is transforming farming
Learn about the latest AI-driven technologies that are enhancing crop monitoring, improving yield predictions, and making farming more efficient and sustainable.
Insights and trends in computer vision for agriculture
Explore perspectives on industry shifts, research developments, and real-world applications shaping what’s next.
Get started today
Leading enterprises build using FiftyOne
30% increase in model accuracy
5+ months of development time saved
30% boost in team productivity
“We’ve been using FiftyOne for over a year and it has drastically changed the way we work. The ability to easily display and analyze our images and their metadata, including experiment results, has been a refreshing change compared to the way we’ve worked before – mainly writing our own metrics and viewers. I’ve personally used FiftyOne for a segmentation model I’ve trained – trying to analyze the results and visually see what my model outputs has been really easy and fluid thanks to FiftyOne.”
Ido Greenfeld
AI Team Lead, Taranis
Prevent crop loss before it happens with computer vision
Talk to our computer vision agriculture experts to start building better datasets and models.
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