Annotating and labeling agriculture datasets to train your AI \ ML models for crop
health and soil monitoring, pest detection, and yield prediction, livestock management,
fructification detection, unwanted weeds detection to optimize agricultural practices.
The below use cases will help you understand how our Annotations will prove to be very useful:
Apart from detecting crop types, we also use image annotation to help computer vision models check and monitor the health of all crops. This is done through deep learning AI model.
- Monitoring Ripeness Levels
- Farming with Robotics
- 3D Field Monitoring
- Livestock Management
- Unwanted Plants Detection
And many more