A sensor by agronomists, for agronomy
The Key Features
- Custom Configuration;
- Select 6 spectral bands among 8 between 450 and 850 nm and take advantage of Airphen's double swath feature to increase the resolution of your data sets with less data as less overlapping is needed;
- Customize your focal length with the combination of a 4,2 & 8mm focal lens to optimize overlapping and resolution;
- Combine and synchronise Airphen with RGB or thermal sensors to acquire even more data;
- Powerful analysis tools;
- Airphen is provided with a dedicated Agisoft Photoscan plugin to quickly generate reflectance, VIs and radiometrically calibrated images;
- Get value from your data with Cloverfield, our online analytics solution that can automate your data processing and derive a wide array of traits for your project;
- Standard acquisition;
- We can provide you the most appropriate operating procedures (SOP) to ensure optimal data acquisition with any device;
- Depending on the traits you want to compute, we can deliver you advices on the acquisition procedures;
- Easy to use camera;
- Easy setup interface, accessible on computer, tablet or smartphone;
- Acquisition can be started with a simple press of a button and is recorded on an easily transferable support (SD card or specific ethernet interface).
- Low weight (200 g)
- Low energy consumption (7 W/h)
- Data recorded on SD card or Ethernet interface
- Internal or External GPS
- Built in Control Interface
- Provided with : Internal GPS antenna, 2 batteries of 1000mAh, 32Gb SD card, Hard transport case
- and much more...
Tips & Tricks
- 5 features to look for when selecting drone RGB sensors for phenotyping
- How to implement drone flights for plant phenotyping projects?
- What is a phenotyping trait?
- Is the drone industry reaching maturity for plant phenotyping?
- What is the Hiphen Academy?
- The top 5 mistakes to avoid while flying a drone for agriculture
- Plant detection and counting from high-resolution RGB images acquired from UAVs: comparison between deep-learning and handcrafted methods
- Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity