Computer vision in agriculture

Reshape agriculture with computer vision, empowering smart agriculture using Ultralytics YOLO models to boost crop and animal monitoring, for smarter, higher-yield farming.

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Shell LogoNIST LogoNGIA LogoDuolingo LogoArgonne LogoMusashi Logo

Ultralytics YOLO applications in agriculture

Object detection

Leverage Ultralytics YOLO11 to detect farm animals and improve accuracy and efficiency in smart agriculture.

Instance segmentation

YOLO11 helps recognize and segment crops, pests, and weeds in images for efficient precision farming.

Image classification

Computer vision in farming can be used to classify images of plants to detect diseases at early stages.

Pose estimation

YOLO11 can help understand animal posture and health, optimizing care and better animal monitoring.

OBB object detection

Oriented bounding box object detection can be used to optimize the alignment of farm equipment.

Object tracking

Monitoring livestock with YOLO11- integrated drones supports object tracking streamlining processes.

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Benefits of computer vision in agriculture

01

AI in farming can save $60B

Vision AI can cut costs by automating inventory, optimizing storage, and reducing equipment repairs, saving up to $60B in farming by 2030.

02

Unlock $116.9B with AI in animal monitoring

With AI tools that increase connectivity, farmers can improve animal monitoring, contributing 7.7% to the industry’s output while boosting profitability.

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Frequently asked questions

How is computer vision used in agriculture?

How is AI used in animal monitoring?

What is computer vision in precision agriculture?

How is Vision AI used in smart farming?

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