For a limited time, book a free water stress analysis from Ceres Imaging and test-drive the industry’s most popular aerial imagery solution.
Ceres Imaging delivers precision agriculture solutions that help farmers build more profitable and more sustainable operations. By combining advanced analytics and high-resolution aerial imagery, we provide the full picture of crop health and irrigation efficiency.
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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.
Sensor integrationsOptimizing irrigation depends on seeing the full picture of variability across your operation. That’s why Ceres Imaging offers seamless integrations with the in-field sensors you already use—including moisture probes and weather stations. With your farm data in one place, it’s easier than ever to uncover opportunities to improve uniformity and make the best irrigation decisions for your business.
Plant-level insightsUnlike other providers that analyze data only at the field level, Ceres Imaging delivers insights on crop health down to the individual tree or vine. This enhanced precision unlocks the ability to quantify changes—so you can measure progress, uncover trends, and evaluate the impact of your management strategy.
Targeted samplingAccurate yield estimation is simpler and more efficient with sampling recommendations from Ceres Imaging. Our targeted sampling tool uses your aerial data to identify the best locations for sampling and the most streamlined approach to collecting measurements—saving you time and preventing costly errors.
Water Demand MapsIn challenging conditions, precision irrigation requires more than guesswork. Water Demand Maps from Ceres Imaging use aerial data from your fields to help you visualize variability across your operation, so you can confidently conserve water without compromising crop health.
As the costs of key inputs rise, many growers are adopting Variable Rate Application (VRA) strategies to minimize expenses without compromising yields. Ceres Imaging offers a built-in tool to generate customized VRA zones from aerial data at the click of a button.
Tree counts generated from aerial imagery make it possible to avoid the time and expense of traditional clicker-counting—without sacrificing accuracy. Receive an inventory pinpointing tree replacement needs by variety within 72 hours.
By measuring reflectances in multiple visible and near infrared bands, our Chlorophyll Index provides insights into plant nitrogen content in-season. More sensitive to nutrient differences than NDVI imagery, the Chlorophyll Index informs targeted tissue sampling, early yield predictions in row crops, and fertility management.
Color infraredColor infrared (CIR) imagery incorporates near infrared (NIR), green, and red reflectances, resulting in a clearer display of vegetation and soil than RGB color imagery. Growers use CIR imagery for early-season monitoring of emergence, canopy density, and soil composition or water content.
NDVINot all NDVI imagery is created equal. Our meticulous attention to detail—from sensor calibration to image stitching and correction for atmospheric conditions—makes our delivery of this benchmark imagery best in class.
ThermalUnlike similar products derived from satellite data, scientific-grade imagery from our plane-mounted thermal cameras reveals minute differences in temperature at a plant level. Ceres Imaging can accurately detect temperature differences of 0.1 degree Celsius between plants, with an absolute accuracy within 1 degree Celsius—the most accurate thermal imagery available for agriculture.
Water Stress IndexOur Water Stress Index combines scientific-grade multispectral imagery—including a thermal layer— with proprietary algorithms. The result: an accurate and intuitive measure of crop stress in real time, which is key to detecting irrigation issues before they impact yield.
