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

Live Stock Management

Semantic for Geo Sensing

Semantic for Geo Sensing

3D-Crop-Health-Monitoring

3D Crop Health Monitoring

Precise Farming with Robots

Crop Protection with Robots

Unwanted Crops Detection

Unwanted Crops Detection

Check Plants Fructification

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.

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