Annotations for AI & ML in Farming & Agriculture Automation
Need of data annotation in AI Agriculture Industry
Modern-day machine learning farming techniques and agricultural practices rapidly involve using artificial intelligence in agriculture to increase crop yields outputs and reduce costs. Aerial soil & crop monitoring, automated livestock management, agricultural robot computer vision models, and AI ripeness detection and quality checks need high-quality and accurate data annotation and labeling services.
How is data labeling used for agriculture and farming industry?
Semantic Segmentation for drone and GPS crop and soil conditions monitoring
Polygon Annotation for precision robotic farming techniques
3D Bounding Boxes for livestock management and health monitoring
Polygon Annotation for fruit and vegetable quality and ripeness tests
Panoptic Segmentation for autonomous tractors and machines
Bounding Boxes for weed and pests detections
Annotation tools used in agriculture and farming industry
Annotation Labs specializes in addressing personalized needs with our Agriculture Industry experts.