AgroCam NDVI camera
Lightweight solutions for aerial mapping in precision agriculture
AgroCam cameras are tiny but powerful devices at affordable price which meet the requirements of being fitted on autonomous aircrafts (UAVs) and with the aim of providing solution for agricultural imagery.
AgroCam Geo NDVI camera
Easy integration to:
- DJI Phantom 4
- DJI Mavic Pro / Mavic 2
- DJI Inspire 1 Pro
- Yuneec H520
Free NDVI processing app
Try and use our new NDVI image processing application free of charge
Create NDVI analysis from NGB, RGN or dual-camera images
Create multi-spectral images and maps of your agricultural area with single (NDVI) or dual (NIR + RGB) camera systems.
Mount the camera on your UAV
Control image capturing by the flight controller or by the built-in intervalometer
Download images through WiFi or USB connection to your device
Process the images using our free online service
WiFi connection for fast and cableless downloading of captured images without dismounting camera from the UAV.
Easy setup by simply mounting on any kind of UAV. Remote shutter can be triggered by any flight controller.
Low energy consumption. Operating with own battery or with UAV's central power system.
Weight and dimension match the possibilities of almost any size of UAVs with fixed or rotary wings.
Easy control of image capturing by timelapse setup, flight controller trigger, or bluetooth remote controller.
Android and iOS applications for managing the images and configuring capture settings.
3D mapping and elevation mapping
Management zone definition
Vegetation health and stress status monitoring
Canopy cover evaluation
Weed and pest detection
Ground sample distance:
12 MP (CMOS sensor with 4000x3000 effective pixels)
43 mm, f/2.8 aperture, extreme low distortion (non-fisheye) lens
Max. 2 pictures per seconds (12 MP)
4.3 cm/px at 120 m (cca. 400 ft) AGL
78g (2.54 oz)
Removable 1200mAh lithium-ion battery
Micro SD Card (up to 64GB)
USB, microHDMI, WiFi, Bluetooth 4.0, external shutter by flight controller
External GPS module, automatic geotagged images