The Cumulative Stress Index is a scorecard of total orchard health, revealing where yield may be most impacted by stress. Use the index to identify the most vulnerable areas of your operation, evaluate the ROI on addressing issues, and protect the long-term health of your business.
A four-year study with the University of California found that a 20% cumulative stress score corresponded with an 11% reduction in yields each year on average.
Dark purple represents the least stressed areas, while yellow areas are the most stressed. Each successive color on the scale corresponds to a 7%–8% increase in cumulative stress.
The Cumulative Stress Index can be delivered mapped to an acre-grid or to customized irrigation zones.
We capture imagery during peak daylight hours and under weather conditions that minimize distortion from shadows and cloud cover. Our highly sensitive, custom-built cameras detect minute changes in the multispectral range—allowing us to detect crop stress earlier than our competitors.
Imagery is geo-referenced and meticulously “masked” to ensure that only relevant information is evaluated. By making use of crop-specific data models and isolating the canopy from ground cover and other background noise, we prevent skewing of the data and enable a more accurate assessment of plant health.
Imagery is assessed in-house by Ceres Imaging’s remote sensing experts, passing through multiple checkpoints before delivery in the Ceres Imaging app within 48 hours of the flight. Growers can access their data on a mobile device, tablet, or desktop computer.
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The difference between Ceres Imaging and other technologies I've used is the help I get from their expert team.
With Ceres Imaging we can take a more targeted approach to applying fertilizer and nutrients.
These flights can cover way more ground and provide more insight than a dozen soil moisture probes — and it's cheaper to implement.
The average Ceres Imaging conductance measurement from its imagery over the season has provided the best correlation with applied water.