by Hamed Mehdipoor, CEO, Spectro-AG BV
HyperSlit is a compact hyperspectral sensor for small drone (DJI Mavic) in the ultraviolet to near-infrared (UV/VIS/NIR) range (190–810 nm). This ultralight system weighs a ready-to-fly 340 gr. The spectral resolution of collected data by HyperSlit is 0.5 nm which allows collecting high-resolution (1024 spectral bands) crop spectral resolution.
HyperSlit has an internal real-time kinematics global positioning system (RTK GPS) and inertial measurement units (IMU) sensors to record geographical and orientational parameters of the UAV per crop spectral signature. These parameters are used to qualify and map the collected data by HyperSlit at the centimeter scale on the ground.
HyperSlit has a web application for monitoring, configuration, acquisition, correction, and management of data, which is available over the wireless network.
The above-mentioned specification of HyperSlit offers on-the-fly and automatic 1)real-time monitoring, 2) setting the integration time of the sensors, 3) correcting optical dark charge, and nonlinearity of sensor data, 4)calculating reflectance and 5) logging data on-the-fly and automatic ways. HyperSlit is used by grass farmers to collected spectral signatures to estimate grassland traits such as crude protein and fiber content.
What drives you?
The need of farmers for timely, detailed, and non-destructive information about their crops.
Why should the delegate attend your presentation?
We will present an accurate, inexpensive and compact solution that tells about crops behind the visible range.
What emerging technologies/trends do you see as having the greatest potential in the short and long run?
Hyperspectral and artificial intelligence
What kind of impact do you expect them to have?
Improving the crop quality while saving the environment.
Hyperspectral and Artificial Intelligence Solutions for Supporting Professional Decisions.
About Spectro-AG BV
Spectro-AG BV is a knowledge-based company that focuses on research and development of solutions based on multi/hyperspectral data and artificial intelligence (AI). We are developing software and hardware systems to collect and process big Spatio-temporal and spatio-spectral data in (semi) real-time. Our software systems fuse, analyze, and process image data from different sensors and platforms to generate information that fits the management models of the user. We believe the automatic generation of such information support farmers and contractors in their decisions.