Machines that use artificial intelligence (AI) are becoming more prevalent across all industries, and agriculture is no exception. Using image annotation in agriculture can streamline the process of monitoring crop health, managing livestock, detecting plant fructification, detecting unwanted crops, and many other applications.
AI and machine learning give a new impetus to the farming sector, a vital industry for the global economy. Employing agriculture image annotation in robots, drones, and automated machines is bringing about a revolution by promoting automated farming practices. Cogito can provide comprehensive agriculture annotation services for companies developing crops and cultivation models for improved agronomics through bounding boxes, semantic segmentation, and other annotation techniques.
Live Stock Management
Semantic for Geo Sensing
3D Crop Health Monitoring
Crop Protection with Robots
Unwanted Crops Detection
Check Plants Fructification
The right training data for AI in agriculture can help develop a wide range of machine learning models for improved farm management, including crop health monitoring and geo-sensing for better productivity. Provide Cogito with the suitable agriculture datasets for annotation and revel in the high-quality training data with image and video annotation for farming for developing various automated crop production and farm management techniques.
Being an industry leader and with its in-house team of 1200+ annotation experts, Cogito can be a trusted partner for annotation in agriculture — when it comes to leveraging modern AI technology for developing automated crop growing and management techniques. The annotated data augmented by Cogito can come in handy to reinforce machine-driven models for improved agricultural productivity and prevent weeds and insects from damaging crops.
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