How a Global Agricultural Leader Accelerated Plot-based Plant Measurements by 2.5x Using Drones
Global agricultural companies operate hundreds of research stations across the world. Research scientists run experiments at each station to develop products that maximize yields for many of the world’s most important crops.
Monitoring and measuring plant growth—especially on a plot-level—is critical for agricultural companies seeking to maximize their investment in research and development of new seed technology. Traditionally, to measure, inspect, monitor and analyze crop-specific data, researchers or third-party contractors count and measure plants.
But this approach presents four key challenges:
- Efficiency—To survey manually requires an average of 11 paid labor hours per acre.
- Accuracy—Visually assessing plant growth introduces human error.
- Objectivity—The assessment of each inspector is highly subjective as standardized assessments are difficult to implement within a large, geographically distributed staff.
- Data management—It takes seven years on average to finish research on a single crop breed. To maximize crop yield, data must be accumulated multiple times.
Download our case study to learn how a global agricultural leader used drones to accelerate plot-based plant measurements by 2.5x and improve accuracy by 25%.