Taranis Uses AI and Drones to Boost Crop Yields

Mar 20, 2026
By Mathew Murphy
Assistant Editor, North American Content, Farms.com

Using advanced AI models, Taranis identifies pests, disease, stress, and other agronomic issues long before they become visible from the ground.

Taranis is helping farmers and ag retailers make more informed decisions by combining drones, software, and artificial intelligence into a single precision agriculture solution.

Jason Minton, Chief Commercial Officer at Taranis, told farms.com how the platform is designed to give growers a clearer, more detailed view of their fields.

Taranis captures ultra-high-resolution drone imagery at a leaf-level scale of 3/10 of a millimeter across every acre. This level of detail allows the system to detect potential threats that may otherwise go unnoticed, including early signs of disease, pest pressure, or nutrient deficiencies.

By scanning entire fields rather than just sample areas, the technology helps identify yield-limiting factors before they significantly impact production.

Artificial intelligence plays a central role in this process.

Advanced image analysis tools evaluate the collected data to pinpoint issues with precision. In addition, Taranis uses AI-driven language models to interpret findings and generate practical recommendations.

These insights can help farmers and their advisors understand what may be causing problems in the field and determine the best course of action to protect crop performance.

The platform handles the analysis and delivers straightforward, actionable insights. By simplifying decision-making and improving field visibility, Taranis aims to help producers enhance yields, increase efficiency, and ultimately improve profitability across their operations.

For more information, visit https://www.taranis.com.

Video: Winter Canola Trial in Mississippi | Can It Work for Double Cropping? | Pioneer Agronomy

Can winter canola open new opportunities for growers in the Mid-South? In this agronomy update from Noxubee County, Mississippi, Pioneer agronomist Gus Eifling shares an early look at a first-year winter canola trial and what farmers are learning from the field.

Planted in late October on 30-inch rows, the crop is now entering the bloom stage and progressing quickly. In this video, we walk through current field conditions, fertility management, and how timing could make this crop a valuable option for double-cropping soybeans or cotton.

If harvest timing lines up with early May, growers may be able to transition directly into another crop during ideal planting windows. Ongoing field trials will help determine whether canola could become a viable rotational option for the region.

Watch for:

How winter canola is performing in its first season in this Mississippi field

Why growers chose 30-inch rows for this trial

What the crop looks like as it moves from bolting into bloom

Fertility strategy, including nitrogen and sulfur applications

How canola harvest timing could enable double-cropping with soybeans or cotton

Upcoming trials comparing soybeans after canola vs. traditional planting

As more growers look for ways to maximize acres and diversify rotations, experiments like this help determine what new crops might fit into existing systems.