Automated analysis turns imagery into insights that will help you make a difference. Our AI models provide unmatched insights, using the most extensive crop imagery dataset and a robust quality assurance process, backed by deep agronomic expertise.
Successful delivery of meaningful insights starts with high-quality data. Taranis ensures quality, taking into account both image-based information—such as sharpness, color clarity, and other parameters—and field-based information such as field coverage and imagery distribution.
With more than 500 million data points – and growing – Taranis AI models have been thoroughly trained to accurately identify and annotate emerging crops and their potential threats, including signs of diseases, nutrient deficiency, insects, and defoliation.
For each insight, the analysis is done on an image-by-image basis. Additional calculations and analysis on the field level is done using smart algorithms, with the result of field insights and prioritization scores that help you pinpoint opportunities.
Our dedicated team of technical agronomists from around the world work to inform and train Taranis’ machine learning and artificial intelligence, perfecting current knowledge and adapting to new and changing agronomic threats, so you can have confidence in the insights you receive from every acre.
