Precision Agriculture

Introduction:

Modern broadacre and horticulture operations span dozens of paddocks. Management of agricultural operations is complex and expensive. Increasing operational costs and weather variability further complicate workflows.

The operational challenges driving precision agriculture adoption

Without reliable data, key decisions such as input timing, variable fertiliser zones and pest strike response rely on manual scouting that is slow, inconsistent, unscalable and expensive.

9%

of crops lost during production

50%

decrease in yield growth rate

DJI’s Solution to Agricultural Challenges

DJI's precision agriculture stack is built around the following:

  • DJI Mavic 3 Multispectral

  • DJI Matrice 400 RTK

  • Zenmuse P1

  • DJI Terra

  • DJI Smart Farm

Pests, Diseases and Nutrient Loss Act Fast

  • Insect and fungal pressure spreads within days

  • Multispectral platforms catch it before yield loss is locked in

It enables operators, agronomists and farmers to:

  • Capture centimetre-accurate vegetation index maps

  • Generate prescription spraying maps

  • Execute variable-rate spray or spread operations autonomously

Scale & Scouting Lag

  • Dozens of paddocks need to be evaluated with limited manpower

  • Drone scouting catches early stress indicators and keeps pace with season-critical windows.

End-to-end precision agriculture workflow

This integrated workflow moves from airborne data capture through cloud data processing to autonomous spray execution. This closed loop can be completed by a single operator. This saves time, manpower and lowers costs, resulting in a better margin for farmers.

DJI Smart Farm Outputs

HD General Crop Monitoring

Orthomosaic (RGB): Provides true colour general visualisation of crop distribution.

Crop Health, Stress and Growth Monitoring

Normalised Difference Vegetation Index (NDVI): Measures overall vegetation vigour.

Early-Stage Nitrogen Management

Green Normalised Difference Vegetation Index (GNDVI): Highlights variation in canopy chlorophyll.

Nutrient Stress in Mid-to Late-Stage Crops

Normalised Difference Red Edge (NDRE): Red edge reflectance is useful for detecting early senescence.

Nitrogen Status and Plant Health

Leaf Chlorophyll Index (LCI): Uses estimates of leaf-level chlorophyll concentration to determine plant health.

Monitoring of Heavily Grazed Areas

Optimised Soil-Adjusted Vegetation Index (OSAVI): Reduces soil-background effects to improve accuracy in sparsely vegetated areas.

What can farmers achieve using the DJI Agriculture stack?

Seasonal planning becomes seamless using the combination of hardware, sensors and software helping farmers answer critical questions.

Not sure which solution fits your needs? Let us help.

Tell us a little about your industry or project type, and our team will reach out to discuss your needs