Updated on September 11, 2020


Created on October 8, 2018

Delair DT18 AG

Upcoming Update

Delair DT18 is an agricultural drone to survey, monitor, and inspect fields.

Developed By Unknown

Product Description

The Delair DT18 AG is an agricultural drone to survey, monitor and inspect fields. It aims to report on crop status over long ranges.

Distributors / Implementing Organizations

Delair Tech and authorized distributors, Frontier Provisions

Intellectural Property Type

Patent Protected

User Provision Model

Direct sales and authorized distributors

Distributions to Date Status


Design Specifications

  • Endurance: Up to 120 minutes
  • Weight (payload included): 2 kg
  • Wingspan / Length: 1.8 m / 1.2 m
  • Deployment time: 5 min
  • Take-off / Landing: Hand launched or Catapult / Belly (no damage to crops)
  • Cruise speed: 61 km/h (33 kts)
  • Maximum surface area covered (75% overlap)90 ha (222 ac) mapped with 4.8 cm GSD
  • MicaSense RedEdge Multispectral CameraNarrow & calibrated spectral bandsResolution (GSD)Width x HeightImage

Technical Support

Replacement Components

Available from manufacturer  



Vetted Performance Status

The results of the research done with Maisadour Semences:

  • 135,000 plants detected
  • 10 ha analyzed
  • 4,000 microplots in one flight
  • Time reduction from 2 days to 2 hours
  • 7% average error


Advanced safety features (real-time front video, autopilot fail-safe mechanisms, geofencing).

Complementary Technical Systems


  • Sensor: MicaSense RedEdge Multispectral Camera
  • Narrow & calibrated spectral bands: Red, Green, Blue, Red Edge, Near Infrared
  • Resolution (GSD): 4.8 cm @ 70 m AGL / 10.2 cm @150 m AGL
  • Width x Height: 960 x 1 280 pixels
  • Image acquisition: Configurable (standard: 1 ima/sec.)

Academic Research and References

Mancini, B. The Great Reconnaissance: A UAV Project in Niger. GeoInformatics; Emmeloord Vol. 17, Iss. 6, (Sep 2014): 6-8.

Mancini, B. and Aumont, J. Mapping Quickly and with Accuracy. GeoInformatics; Emmeloord Vol. 18, Iss. 6, (Sep 2015): 6-8.

Wayumba, R.. Mwangi, P., and Chege, P., Application of Unmanned Aerial Vehicles in Improving Land Registration in Kenya, International Journal of Research in Engineering and Science (IJRES), Volume 5 Issue 5 ? May. 2017 ? PP. 05-11

Larrieu, N., How can model driven development approaches improve the certification process for UAS?, 2014 International Conference on Unmanned Aircraft Systems (ICUAS), Orlando, FL, 2014, pp. 253-260.

Compliance with regulations

Certified for daily BVLOS operations (since 2012)  

Other Information

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