DJI Mavic 3 Multispectral

Turn crop imagery into better-informed field decisions

The DJI Mavic 3 Multispectral combines a 20 MP RGB camera with four multispectral cameras in a compact folding aircraft. It helps agricultural teams look beyond an ordinary colour photograph, capturing spectral information that can support crop scouting and spatial analysis. RGB imagery gives the field context; multispectral data helps identify variation that deserves closer investigation on the ground.

Watch the official DJI introduction

Watch DJI Mavic 3 Multispectral on DJI’s YouTube channel. The film may show optional equipment or other models in the same series.

Features and capabilities

See the field in visible and multispectral bands

The camera system records green, red, red-edge and near-infrared bands alongside RGB imagery. Suitable processing tools can use these bands to create vegetation-index maps and other analytical outputs. These maps help reveal patterns across a field, but colour differences are not a diagnosis by themselves. Crop stage, weather, soil conditions and field observations are needed to interpret the result.

Capture data consistently between visits

An integrated sunlight sensor records illumination information to assist with radiometric correction during processing. The RTK module and synchronized image positioning support a precise acquisition workflow when appropriate corrections are available. Consistent flight planning, capture conditions and processing methods make repeat surveys more useful for comparing change over time.

Connect mapping with the application workflow

RGB imagery can support orchard and field mapping, while multispectral outputs can inform management zones and variable-rate planning with compatible software. The Mavic 3M is a survey and scouting aircraft: it does not spray or spread. An Agras aircraft and its application equipment carry out the treatment stage after the data has been processed and checked.

Portable enough for regular scouting

The folding design and supported automated routes make the aircraft practical for revisiting fields throughout a season. Omnidirectional sensing and terrain-following survey functions assist operation where their environmental requirements are met. Plan battery reserves and routes around the actual terrain; DJI’s maximum flight time is a test figure, not a promise of productive mapping time on every mission.

Key specifications

* Maximum performance figures are measured in DJI’s specified test conditions. Actual endurance, payload and application results depend on configuration, terrain, weather and operating settings.

Package and equipment planning

Confirm the aircraft package, RTK correction arrangement and required processing software with Afridrones. Mapping licences, cloud services and an Agras application aircraft are separate from this listing unless expressly included. Multispectral interpretation should be checked against field observations before changing a treatment programme.

Explore the manufacturer’s product overview, full specifications and manuals and downloads.

Practical use cases

Find areas that need a closer crop check

Use vegetation maps to prioritise where an agronomist or farm team should walk the field. A pattern can identify an area of concern without claiming to distinguish nutrient, water, pest or disease stress automatically.

Compare management zones

Map variation within an irrigated or rain-fed field and compare it with soil, yield or irrigation information. The combined evidence can help structure field trials and future sampling.

Plan variable-rate applications

With compatible processing software and an agronomic plan, turn mapped variation into a prescription for supported application equipment. Review the prescription before moving to an Agras spraying or spreading operation.

Orchard mapping and seasonal records

Create RGB maps of orchard blocks and repeat the survey to document canopy and site changes. Multispectral data adds another layer for investigation, while ground checks establish what the observed changes mean.