In Minnesota, Sentera introduced the multispectral Quad Sensor, featuring four fully customizable imagers. In its standard configuration, the Quad Sensor offers standard Normalized Difference Vegetation Index, Green NDVI, Normalized Difference Red Edge, and high-resolution color data capture – all in a single flight. Simultaneous collection of NDVI and NDRE data provides users with informative, accurate insights about crop health while streamlining operations.
Sentera’s Quad Sensor is used by universities, researchers, large growers, and advisors to provide high-precision, low-distortion vegetative health data tailored for unique applications. This update improves throughput and imager performance and updates packaging for simplified integration with common drone platforms.
Dr. Ian MacRae, Department of Entomology Professor for the University of Minnesota College of Food, Agricultural and Natural Resource Sciences said, “Sentera has worked with us to develop, manufacture, and deploy sensors that have refined our understanding of how insects and disease affect the spectral response of agricultural crops.”