Sentera Maintains Momentum with Launch of High-Precision Sen…

Sentera has introduced new additions to its small, light-weight single sensor product household. The new High-Precision NDVI Single and High-Precision NDRE Single enhance spectral band separation and generate correct vegetation index measurements. The High-Precision Single sensor is offered in two variants: normalized distinction vegetation index (NDVI) and normalized distinction pink edge (NDRE).

As with all members of the Single product line, the brand new sensors combine onto any drone. They can be found pre-installed on DJI Phantom four, Mavic, and Inspire tools or as dealer-installed upgrades to customer-owned drones.

“We are excited to introduce our High-Precision sensors, offering ag professionals more accurate and affordable crop health data collection options than ever before,” commented Eric Taipale, CEO of Sentera. “We’re committed to offering our customers the best tools to make accurate data measurements and especially pleased to offer these capabilities within our smallest and most affordable product line.”

The new sensor will make it simpler for customers to combine satellite-based index information with drone-based index information. The High Precision filters extra carefully match the spectral filtering used on most space-based imagers, however retain the identical benefits in picture decision in comparison with satellites. “Digital agriculture is looking for the best sensor for each task. Depending on growth stage, weather, and other factors, that sensor might be on a drone, an airplane, or a satellite,” Taipale continued. “Our High Precision products make it much easier to combine drone data with other sources.”

High-Precision NDVI and NDRE Single sensors acquire the exact, slender bands that agronomists, crop consultants, and growers depend on to assist decide crop vigor. Unlike some competitor’s options, Sentera’s filtering expertise successfully rejects out-of-band leakage earlier than it will probably contaminate the measurement and result in error in vegetative index computation.

“Targeted data capture allows users to filter out ‘spectral noise’ and collect only the isolated emissions in the red, red edge, and NIR bands – true indicators of crop health,” explains Ryan Nelson, chief mechanical engineer for Sentera. “You can be confident that what the sensor identifies as red, red edge, or NIR content is truly within the proper spectral region. This means you are getting the most reliable, accurate, and precise NDVI and NDRE data available today.”

Converted point-and-shoot cameras or modified drone cameras with out correct filtering will exhibit out-of-channel leakage, producing much less correct index. Sentera’s High-Precision Single sensors use specialised filters, enabling NDVI and NDRE information seize with excessive precision.

Nelson explains, “With many cameras currently on the market, you’ll see a significant amount of overlap between color channels that affects the accuracy of vegetative health index. When developing our High Precision Agriculture Sensor line, we implemented advanced filtering techniques that provide precise spectral data with complete band separation so users can be confident that they’re collecting accurate and reliable NDVI or NDRE measurements every time.”

Sentera’s Precision Agriculture Sensor options, mixed with AgVaul internet, desktop, and cellular, provide customers an end-to-end information seize resolution. Precise sensor information seamlessly integrates with AgVault the place real-time crop well being information may be analyzed, and analytics are simply carried out on or off the sector.

Sentera’s High Precision NDVI Single and High Precision NDRE Single sensors simply combine with the DJI Phantom four Pro, Mavic, and Inspire 1 drones in addition to a number of different platforms.

Click right here to study extra, or go to Sentera’s web site to order.

Frank Schroth is editor in chief of DroneLife, the authoritative supply for information and evaluation on the drone business: it’s individuals, merchandise, developments, and occasions.
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