Updated on October 8, 2018


Created on October 8, 2018

AgEagle RX40

Upcoming Update

Drone for precision agriculture mapping

Developed By Unknown
Content Partners


Product Description

AgEagle RX40 is a professional drone that captures aerial maps for precision agriculture growers

Market Suggested Retail Price


Target Users (Target Impact Group)

Distributors / Implementing Organizations

Manufacturing/Building Method

Designed and built in the US using “Tractor Tough” airframes

Intellectural Property Type


User Provision Model

Direct sales and authorized dealers

Distributions to Date Status


Design Specifications

  • No internet required to operate
  • Pre-programmed missions
  • No launcher required
  • Botlink NIRX image processing
  • Flying in wind conditions that hamper quad copters
  • True NIR images from the Sentera NDVI Single Sensor
  • Composite construction with hardened points for longevity and reliability

Technical Support

Local support from AgEagle dealers

Replacement Components

Available online


One or two years repair and replacement plans available for an extra charge

Manufacturer Specified Performance Parameters

  • Operating Airspeed: 31-49 mph (13.8-22 m/s)
  • Cruise Airspeed: 33 mph (14.7 m/s)
  • Max Descent Rate: 394 ft./min (2 m/s)
  • Max Climb Rate: 984 ft./min (5 m/s)
  • Max Turn Rate: 150 deg/s
  • Endurance: 60 mins. w/ Std. Batteries

Vetted Performance Status



Safety information included in the user manual

Complementary Technical Systems

Catapult launcher for fixed wing drone

Academic Research and References

  1. Charles M. Boozer, Michael J. Van Tooren, and Ali Elham. “Multidisciplinary Aerodynamic Shape Optimization of a Composite Blended Wing Body Aircraft“, 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum, (AIAA 2017-0128)
  2. Atole, R., Belo, L. and Lirang, J. “Eyes in the Sky: A Review of Civilian Unmanned Aerial Vehicles (UAVs)” , International Journal of Computer Applications (0975 – 8887) Volume 173 – No.6, September 2017
  3. Moskvitch, K. “Take off: are drones the future of farming?“, IET Volume 10, Issue 7, August 2015, p. 62 – 66
  4. I. Petkovics, J. Simon, Á. Petkovics and Z. ?ovi?, “Selection of unmanned aerial vehicle for precision agriculture with multi-criteria decision making algorithm,” 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), Subotica, 2017, pp. 000151-000156.
    doi: 10.1109/SISY.2017.8080543
  5. Dehaan, R. “Evaluation of Unmanned Aerial Vehicle (UAV)-Derived imagery for the detection of Wild Radish in Wheat” December 2015

Compliance with regulations

Compliance with US FAA regulation

Other Information

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