Agricultural AI

The advent of AgriTech has been a lifeline. However, validating these computer models using processed data can be a bit challenging. Our agriculture annotation services aid in processing training data for AI perception models through several annotation techniques. Our managed workforce has years of experience working on numerous annotation projects.

We offer labeling services for agricultural products, equipment, and elements to assemble training data for computer vision models in the agricultural industry. Our services can be implemented in the following ways:

Computer vision perception models can simplify the task of detecting weeds on crops. Using bounding boxes annotation, we identify and differentiate crops and weeds to come up with quality training data.

We label and analyze fruits, vegetables, and other crops depending on their growth stage. The training data received is then used to develop tracing models in AgriTech for uninterrupted field analysis.

With the emergence of computer vision technology, real-time monitoring of a plant’s health has been significantly simplified. Using various annotation techniques, we refine training data for AgriTech computer models by analyzing plants and identifying their healthy or unhealthy plant areas.