Agriculture

Jump start your Computer Vision Machine Learning for modern farming and livestock management.

Precision agriculture and smart farming.

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Training data for AI in agriculture

With Keylabs you can easily create a custom training dataset that can be used in various agricultural use cases like robotics, crop health and soil monitoring, field monitoring, growth progress detection, smart farming and many more.

Image and video annotation

Crop disease detection

Keylabs allows you to create AI solutions for agricultural projects with image annotation, helping AI to see.

Preparing correct training data for AI is a very important part as the quality of this data affects the results and performance of the crop disease detection AI.

Growth monitoring

Label plants on different stages of growth to teach your computer vision AI to notify you whether there are issues that require immediate intervention or when it’s simply time to harvest.

Aerial monitoring

Crop monitoring

Keylabs provides all the necessary toolset for annotating drone footage in a fast and precise manner. Teach your farm drones how to monitor plant health, field conditions, track equipment and more.

Livestock management

Whether you need to count animals in a field or monitor their health and behaviour in real time in enclosed space, you will need to create training data for those purposes. And luckily dataset creation has never been easier than with Keylabs.

Common use cases of AI in agriculture

Crop monitoring

Crop monitoring

Growth monitoring

Growth monitoring

Livestock management

Livestock management

Pest & disease detection

Pest & disease detection

Weed control

Weed control

Weed control

Crop harvesting

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