Training Data for Deep Learning AI in Agriculture and Farming
AI and machine learning in agriculture is giving a fresh pair of wings to this vital sector of the global economy. The use of AI in agriculture reached ground level, from crop health monitoring to geo-sensing for better productivity. AI in farming is bringing revolutionary technological changes with the use of robots, drones, and automated machines. At Cogito, we provide the training data required for deep learning in agriculture.
Image Annotation Types for AI in Agriculture and Farming
Live Stock Management
Semantic for Geo Sensing
3D Crop Health Monitoring
Crop Protection with Robots
Unwanted Crops Detection
Check Plants Fructification
Cogito is supplying the training data with annotated images for using various techniques making the machine learning training easier through Computer Vision. From bounding box to semantic segmentation and polygons, we provide a complete image annotation solution for companies developing models for agriculture and farming. In the near future, this will enable the farmers to yield high productivity and protect their crops from being damaged by weeds and insects.