Features
4-band agricultural version multispectral Yusense MS400
- 4 MS & 1 RGB
- 1.3 million & 8 million pixels
- Gigabit Ethernet port/TTL serial port.
- ≤175g Lightweight aluminum body
- ≤7W@12V power supply, 64G TF card
- 12bit raw data and global shutter & 8bit rolling shutter
- Multiple trigger modes for external, timing, and overlap ratio
- Compatible with CA400 UAV and other light and small UAV

Advantages Yusense MS400
- 4 MS & 1 RGB
- Lens module can be replaced independently
- Supporting control software, online interaction, data return
- Independent customization of 400nm-1000nm band
Typical application multispectral Yusense MS400
Vegetation coverage monitoring
Vegetation index was constructed based on the fingerprint spectrum of vegetation to complete the spatial distribution and area statistics of target vegetation in the designated area, and to provide quantitative vegetation canopy density data for scientific research and production inagriculture, forestry and grass, ecology and other fields.


Condition monitoring
By using vegetation factors such as NDVI and LAI, quantifying the consistency of vegetation canopy status at different spatial scales, and using characteristic spectra of vegetation in different health states to quantitatively assess ve-getation growth,which can prov-ide data support for irrigation, fe-rtilization, plant protection, yield evaluation and other work.
Pest and disease assessment
According to the characteristic spectrum of pests and diseases and crop growth, the severity of pests and diseases and the spatial distribution of crop health status can be quantitatively judged, which can provide data support for disaster assessment, crop yield estimation, agricultural and forestry plant protection, etc.


Lodging assessment
According to the difference of canopy spectrum and leaf surface texture, a crop lodging evaluation model was constructed, and the lodging degree and spatial distribution of different lodging degrees were quantitatively described by combining with the statistical data of ground sampling points, which provided data support for disaster assessment and crop yield estimation.