Description

Features

• 4 Multispectral & 1 RGB
• 1.3 million & 8 million pixels
• 12bit global & 8bit rolling shutter
• Gigabit Ethernet port/TTL serial port
• Standard downlink light sensor (DLS)
• ≤175g aluminum alloy light body
• ≤7W@12V power supply, 64G TF card
• Convenient setting of WEB interface parameters under WIFI connection
• Multiple trigger modes of external, timing and overlap rate
• Compatible with various small UAV platforms

Typical application

Growth assessment

Use NDVI, LAI and other vegetation factors to quantify and describe the consistency of vegetation canopy states at different spatial scales, assist the characteristic spectra of vegetation in different health states, quantitatively evaluate the growth of vegetation, and provide data for irrigation, fertilization, plant protection, and yield evaluation. support.

Germination rate assessment

Based on the spectral differences between crops and weeds, soil and other environments, the precise identification and plant segmentation of crop seedlings can be completed, the area of ​​crop plants in a unit area can be quantitatively evaluated, and the regional emergence rate can be calculated to provide data support for scientific research and breeding, farming seedling supplementation, etc.

Pest Assessment

According to the characteristic spectrum of pests and diseases and crop growth, 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, agriculture, forestry and plant protection, etc.

Lodging assessment

According to 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, to quantitatively describe the degree of crop lodging and the spatial distribution of different lodging degrees, and provide data support for disaster assessment and crop yield estimation.