Once a planting date is established for a field, Taranis initiates a scheduled mission cadence designed to monitor crop emergence and identify potential threats throughout the growing season. During each mission, high-resolution imagery is analyzed to detect agronomic issues such as weeds, diseases, nutrient deficiencies, and insects.
The first mission is focused on validating crop emergence and identifying early weed pressure. For corn, emergence must reach at least 90%, and for soybeans, at least 85%. If these emergence thresholds are not met, the following mission will continue to prioritize emergence and weeds to ensure the crop has reached an acceptable and stable stand.
Once the emergence threshold is met, the remaining missions shift their focus to in-season agronomic threats. These missions are designed to identify and monitor weeds, diseases, nutrient deficiencies, and insect pressure as the crop develops, allowing insights and recommendations to align with the most relevant risks at each stage of the growing season.
How Many Images Are Tagged per Acre?
Taranis captures and analyzes a large volume of high-resolution imagery across each field. In the platform, you will typically see approximately 1 to 3 images per acre, depending on field conditions and what is detected during that mission.
How Threats Are Tagged Within an Image
Tagging behavior in Taranis varies by threat type. When weeds are detected in an image, all identifiable weed species within that image are tagged whenever possible to provide a clearer view of weed pressure and species presence.
For other threat types, including diseases, nutrient deficiencies, and insects, only one instance of a given threat is tagged per image, even if multiple symptoms appear. This approach ensures insights remain clear and consistent while focusing attention on the presence of a threat rather than duplicating indicators within the same image.
Why You May See Only One Tag per Image
Tagging a single instance of disease, insect damage, or nutrient deficiency per image is intentional. Multiple tags within the same image do not provide additional agronomic value, as they do not indicate greater severity or intensity of the issue. Severity, spread, and economic impact are determined by how often a threat appears across images and across the field, not by the number of times it is marked within a single image. This approach ensures insights remain clear and easy to interpret, consistent across fields and missions, and focused on actionable trends rather than unnecessary visual noise.
Putting it All Together
Together, this approach allows Taranis to deliver insights that are both accurate and actionable. By combining a structured mission cadence with consistent image and threat tagging, Taranis helps users quickly understand what is happening in their fields, where issues are occurring, and when attention is needed. The result is a streamlined view of field conditions that supports confident decision-making throughout the growing season.