Mavic3m
DJI Mavic 3M - Multispectral
Multispectral + RGB imaging system
Highly integrated imaging system
Newly upgraded imaging system with one 20MP RGB camera and four 5MP multispectral cameras (green, red, red edge, and near infrared). Enables applications such as high-precision aerial surveying, crop growth monitoring, and natural resource surveys.
Sunlight Sensor
The built-in sunlight sensor captures solar irradiance and records it in an image file, allowing for light compensation of image data durin
Guide variable rate applications
For rice fertilization, cotton growth regulation, and potato foliar fertilizer spraying, the Mavic 3M is used to obtain multi-spectral images of crops. DJI Terra or the DJI SmartFarm Platform can then generate NDVI and other vegetation indices maps, capturing differences in crop potential and generating prescription maps that allow agricultural drones to execute variable-rate application. This ultimately allows users to reduce costs, increase yield, and protect the environment.
Intelligent field scouting
The Mavic 3M can carry out automatic field scouting. The field scout images can be uploaded to the DJI SmartFarm Platform in real time through a 4G network. It can find abnormalities, such as emergence deficiencies, weed pressure, and crop lodging in a timely manner. It can also conduct intelligent analyses, such as cotton seedling identification and rice production testing, using AI identification for real-time sharing of crop growth information, guidance of agronomic activities, and easy management of 70 hectares of farmland by one person.
RTK module
Accurate images that capture every pixel
Mavic 3M with RTK module for centimeter-level positioning. Flight control, the camera, and the RTK module sync in microseconds to accurately capture the location of each camera's imaging center. This enables Mavic 3M to do high-precision aerial surveying without using ground control points.
Sunlight Sensor
The built-in sunlight sensor captures solar irradiance and records it in an image file, allowing for light compensation of image data during 2D reconstruction. This results in more accurate NDVI results, as well as improved accuracy and consistency of data acquired over time.