Features
Why the RedEdge-MX?
Multispectral data capture, made simple
Designed for Vegetation Analysis
The RedEdge-MX captures light in five different bands (Red, Green, Blue, Red Edge, and Near-Infrared). These bands are specifically chosen for vegetation analysis and enable indices such as NDVI, NDRE, chlorophyll estimation, stress detection, and crop vigor mapping.
Global Shutter for Distortion-Free Images
The RedEdge-MX features a global shutter sensor, capturing every pixel in the image at the exact same moment. This ensures sharper, more geometrically accurate imagery for drone mapping, delivering reliable data for photogrammetry, precision agriculture, environmental monitoring, and other surveying applications. The result is improved image alignment, more consistent datasets, and higher-quality maps—even during high-speed flights.
U.S. Made
Manufactured in the USA and validated through more than 10 years of field use, the RedEdge-MX is trusted by customers in more than 70 countries.
Reliable Data
The camera includes radiometric calibration capabilities and works with the DLS 2 light sensor, helping compensate for changing illumination conditions during flights. This improves consistency between flights, dates, and locations.
Mature Software Workflow
RedEdge-MX data is widely supported by mapping and photogrammetry platforms such as Pix4D and Agisoft, which reduces workflow headaches and makes it easier to collaborate with agronomists, researchers, and consultants.
Consistent Data Over Time
Every RedEdge-MX camera kit includes a Reflectance Panel and DLS2 light sensor to account for changing weather and lighting conditions, providing accurate, repeatable data for reliable analysis and comparison over time.
Use Cases and Applications
Providing a comprehensive view into crop health
Phenotyping
Manually measuring plant characteristics is time-consuming. RedEdge-MX captures more data in less time, allowing researchers to understand how different breeds react to certain environments and modify desirable traits in order to improve yield.
Crop Scouting
Quickly identify crop variability, pest damage, and other field conditions to support targeted field inspections and management decisions.
Fertilizer and Irrigation Planning
Assess crop vigor and field variability to optimize fertilizer application and irrigation strategies, improving resource efficiency and crop performance.
Disease, Pest and Nutrient Deficiency Detection
Detect disease across large areas, enabling timely intervention and reducing the risk of yield losses.
Plant Stress Detection at Zone Level
Identify zones affected by water, nutrient, pest, or environmental stress to prioritize corrective actions and improve crop health.
Seasonal Trend Analysis
Monitor crop development throughout the growing season to evaluate growth patterns, compare performance over time, and support agronomic decision-making.
Revegetation and Land Restoration Monitoring
Track vegetation establishment, ground cover, and ecosystem recovery in restoration projects to measure progress and assess long-term success.
Leak Scouting
By measuring reflectance in the red edge band, the RedEdge-MX can detect irrigation leaks. Excessively irrigated areas often exhibit higher NDRE values, causing plants to appear healthier than those in the surrounding field and making irrigation anomalies easier to identify.
Applications
Crop Scouting
Fertilizer & Irrigation Planning
Widespread Disease Detection
Plant Stress Detection
Seasonal Trend Analysis
Revegetation Monitoring
Leak Scouting
Professional Calibration for Time Series Analysis
With the DLS2 light sensor and CRP2 calibrated reflectance panel, you can maintain data consistency across varying times, locations, and lighting conditions, supporting time-series studies and compliance with peer-reviewed publication standards.
Proven Performance
Manufactured in the USA and validated through more than 10 years of field use, the RedEdge-MX is trusted by customers in over 70 countries.
Multispectral Data Capture, Made Simple
The RedEdge-MX captures reflected light across five discrete spectral bands (Blue, Green, Red, Red Edge, and Near-Infrared), including wavelengths beyond the visible spectrum. By analyzing how crops reflect this light, it provides field-level insights into crop health and vigor.





