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COMMON.CLOSE

4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
4P Agriculture Multispectrual MS400
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MS400 4B Multispectrual Camera Agriculture

Yusense 4B multispectral camera mounted on a drone, with 4 multispectral channels of 1.3M pixel, 1 RGB of 8.0M pixel for intelligent agriculture with multipectral imagery and video, featuring optical-grade glass window, large aperture, low distortion, broadband transmission, all-glass lens, high cost performance, meeting the application needs in the field of agricultural remote sensing.
$6,299.00 USD
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Product Features

  • 4 multi-spectral bands & 1 RGB
  • 1.3 million & 8 million pixels
  • 12-bit global & 8-bit rolling shutter
  • Gigabit Ethernet port/TTL serial port
  • Downlink light sensor (DLS) as standard
  • ≤175g aluminum alloy lightweight body
  • ≤7W@12V power supply, 64G TF card
  • Convenient WEB interface parameter setting under WIFI connection
  • Multiple trigger modes including external, timing, overlap rate
  • Compatible with various small drone platforms

Technical Parameters

Combination mode:  4 multispectral channels + 1 RGB channel

Target size:          Multispectral & RGB: 1/4”

Effective pixels:      Multispectral: 1.3Mpx; RGB: 8.0Mpx

Shutter type:        Multispectral: global; RGB: rolling shutter

Quantization bit:     Multispectral: 12bit; RGB: 8bit

Field of view:         Multispectral: 36.7°×31.3°; RGB: 37.5°×28.6°

Ground resolution:    Multispectral: 6.23cm@h120m; RGB: 2.49cm@h120m

Coverage width:      Multispectral: 80m×67m@h120m; RGB: 82m×61m@h120m

Spectral channels[1]  555nm@27nm, 660nm@22nm, 720nm@10nm, 840nm@30nm, RGB

Optical window:      Optical glass window

Host size:            ≤55mm×65mm×50mm

Host weight:          ≤175g

Installation interface:   7×M3

Power supply:         12V (Please consult us for other voltages)

Power consumption:   ≤7W@12V

Image format:      Multispectral: 16bit original TIFF & 8bit reflectivity JPEG; RGB: 8bit JPEG (including GPS, ambient light information)

Video format —

Storage medium:     Standard and supports up to 64G capacity (transmission speed U3 and above rating) micro SD card

Parameter setting:     WIFI (WEB interface access)/Ethernet/UART

Shooting trigger:      External trigger, timing trigger, overlap rate trigger

Shooting frequency:   1Hz (related to the actual read and write speed of the storage medium)

Working environment temperature:   -10℃~+50℃ (relative wind speed ≥1m/s)

Storage environment temperature:    -30℃~+70℃

Environmental humidity:      RH(%)≤85%(non-condensing)

Product certification:     CE, FCC, RoHS

 

Note: [1] Standard wavelengths allow customization of the following 18 wavelength combinations (please contact us for details on combination methods and costs): 410nm@35nm, 450nm@30nm, 490nm@25nm, 530nm@27nm, 555nm@27nm, 570nm@32nm, 610nm@30nm, 650nm@27nm, 660nm@22nm, 680nm@25nm, 720nm@10nm, 720nm@15nm (Qualcomm), 750nm@10nm, 780nm@13nm, 800nm@35nm, 840nm@30nm, 900nm@35nm, 940nm@30nm (tolerance ±5nm).

 

Typical Application

 

Growth Assessment

Use vegetation factors such as NDVI and LAI to quantitatively describe the consistency of vegetation canopy status at different spatial scales, assist the characteristic spectra of vegetation under different health states, quantitatively evaluate the growth of vegetation, and provide data support for irrigation, fertilization, plant protection, yield assessment, etc.

 

Seedling Rate Assessment

Based on the spectral differences between crops and weeds, soil and other environments, complete the accurate identification and plant segmentation of crop seedlings, quantitatively evaluate the area of ​​crop plants within a unit area, and calculate the regional seedling rate, providing data support for scientific research breeding, agricultural seedling replacement, etc.

 

Pest and Disease Assessment

Based on the characteristic spectra of pests and diseases and the growth of crops, quantitatively judge the severity of pests and diseases and the spatial distribution of crop health status, and provide data support for disaster assessment, crop yield estimation, agricultural and forestry plant protection, etc.

 

Lodging Assessment

Based on the canopy spectrum and leaf texture differences of vegetation, a crop lodging assessment model is constructed, combined with the statistical data of ground sampling points, the degree of crop lodging and the spatial distribution of different degrees of lodging are quantitatively described, providing data support for disaster assessment, crop yield estimation, etc.