Sentera drone sensors deliver unrivaled performance and consistently beat competitors in price, quality and function. Our sensors produce high-quality, context-rich color and near-infrared (NIR) image data to deliver unsurpassed NDVI data to growers. Our state-of-the-art design and deep base of field experience enable us to produce sensors that deliver meaningful and actionable insights to our customers.
The Sentera Double 4K is a small, fully customizable twin-imager sensor that is universally compatible with any UAV. Fitting in the footprint of a GoPro® HERO 4, the rugged, high-throughput Double 4K Sensor is designed for use in harsh environments with configuration options that make it ideal for use in agriculture and infrastructure inspection applications. Both cameras are capable of capturing high-megapixel color stills, near-infrared (NIR), and normalized difference vegetation index (NDVI) data, and 4K video.
The multispectral Double 4K sensor variant offers five spectral bands: blue, green, red, red edge, and NIR. Using patent-pending technology, Sentera’s Multispectral Double 4K sensor helps agronomists, crop consultants, and growers identify issues with their crops earlier and with greater precision.
Click here for the Double 4K agriculture sensor data sheet
Click here for the Multispectral Double 4K agriculture sensor data sheet
Click here for the Double 4K inspection sensor data sheet
The Sentera Quad Sensor is the latest in precision agriculture drone cameras. With four fully-customizable multispectral imagers, the innovative sensor offers standard Normalized Difference Vegetation Index (NDVI), Green NDVI, Normalized Difference Red Edge (NDRE), and high-resolution color capture – all in a single flight. The Quad sensor can measure key indicators of chlorophyll in crops.
The intelligence provided by this sensor makes it ideal for Universities, researchers, large growers, and advisors to provide high-precision, low-distortion vegetative health data tailored for unique applications.
Click here for the Sentera Quad data sheet
Elegantly engineered, the high-precision Single sensors are specifically designed to monitor crop health through NIR, NDVI, and NDRE (red edge) data collection.
The High-Precision NDVI Single and High-Precision NDRE Single utilize patent-pending technology to improve spectral band separation and generate more accurate vegetation index measurements. The High-Precision Single sensor is available in two variants: normalized difference vegetation index (NDVI) and normalized difference red edge (NDRE).
The Single is unmatched in its performance due to its global shutter, tiny size and lightweight. It’s the world’s best tool for those who want to collect the highest quality NDVI or NDRE data. The High-Precision Single sensors integrate onto any drone, helping agronomists, consultants, and producers identify growth issues earlier and with greater precision.
The sensors are available pre-installed on DJI Phantom 4, Mavic, and Inspire equipment or as dealer-installed upgrades to customer-owned drones.
For several years, Sentera’s research customers have been using Sentera’s Incident Light Sensor (ILS) to measure the color spectrum of incident light from the sun. Now, these capabilities have been seamlessly integrated into Sentera’s sensors, making it easy for agronomists, crop consultants, and growers to accurately compare images of the same area, captured over time.
Calculating absolute vegetation health regardless of cloud cover or timing lets the user focus on results and make in-field decisions with more accurate data.
The Sentera Q sensor provides highly accurate aerial imagery and data in a single pass, making it the ideal sensor solution for surveying, mapping, surveillance, and reconnaissance operations.
One of the most advanced drone cameras, the Sentera Q is capable of capturing highly accurate, 18MP and 10x optical zoom color imagery. The high-resolution images can be transformed into precise 3D models assisting public safety officials with pre-planning activities and geospatial analysts with measuring geographical volumes and analyzing surface data.