Project 05 · Systems Engineering

Project ECHO

Low-Cost Agricultural Survey Drone

Developing an affordable aerial imaging platform through system-level optimization of endurance, cost, structure, propulsion, and sensing capability.

Aerospace Engineering Lead — Structures, Airframe Design & System Optimization

SolidWorks FEA MATLAB / Python Systems Optimization 2026–Present

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Maximize

Flight Endurance

Extend useful survey time while carrying the required sensing and power hardware.

Reduce

System Cost

Treat component cost as a design variable, not an afterthought.

Maintain

Useful Image Quality

Keep imaging capable enough for agricultural analysis without overspecifying sensors.

01 — The Problem

Accessible aerial crop-health data for smaller farms.

Mission need

Project ECHO is a multidisciplinary engineering project focused on developing a lower-cost aerial imaging platform for agricultural surveying. The system is being designed for smaller farms that could benefit from aerial crop-health data but may not be able to justify the cost of existing commercial agricultural drone systems.

Design approach

Instead of optimizing the aircraft around a single performance metric, the project focuses on balancing endurance, cost, image quality, structural performance, and subsystem compatibility.

Aerospace, electrical, and software engineering develop the aircraft, sensing system, and supporting analysis tools as a complete system rather than optimizing each component independently.

  1. Requirements
  2. Trade studies
  3. Optimization
  4. CAD
  5. FEA
  6. Manufacturing
  7. Flight testing
  8. Validation

02 — Engineering Requirements

Requirements first — components later.

The project began by defining system requirements rather than immediately selecting motors, propellers, batteries, or sensors.

Endurance

Useful survey time

The aircraft should maximize useful survey time while carrying the required sensing, navigation, propulsion, and power hardware.

Cost

Affordable platform

Component cost is treated as a design variable rather than an afterthought. The objective is a significantly more affordable agricultural survey platform than many existing specialized systems.

Imaging

RGB + NIR capability

The aircraft is being designed around RGB and near-infrared imaging capable of supporting vegetation analysis such as NDVI while avoiding unnecessarily expensive commercial multispectral systems.

Payload

Integrated packaging

Camera, flight controller, GPS, compass, battery, power electronics, storage hardware, and structure must integrate without unacceptable center-of-gravity, packaging, weight, or serviceability issues.

Regulatory

Small-UAS operating context

The planned system and operating concept are being developed with FAA small-UAS operating requirements in mind. Exact compliance claims are reserved until the aircraft configuration and operating procedures are finalized.

03 — System Architecture

Major subsystems of the aircraft.

Image data is intended to be stored onboard for later processing. The current concept does not require onboard image processing or live image streaming.

  • Airframe / Structure
  • Motors
  • Propellers
  • ESCs
  • Battery
  • Flight controller
  • GPS / Compass
  • RGB + NIR imaging
  • Onboard data storage

04 — System Optimization

Coupled endurance, mass, propulsion, and cost.

Why components cannot be chosen independently

Endurance cannot be optimized by selecting a motor, propeller, battery, or airframe in isolation. A larger battery increases available energy but also aircraft mass. Larger propellers can improve propulsion efficiency while changing motor requirements and geometry. Structural stiffening can improve integrity while adding weight.

Design principle

The goal is to select the aircraft configuration through quantitative trade studies rather than choosing components individually.

An optimization workflow compares real propulsion and battery combinations while accounting for system-level constraints.

Fixed aircraft mass Battery capacity Battery mass Motor characteristics Propeller diameter & pitch ESC requirements Estimated hover power Estimated flight endurance Component compatibility System cost

05 — Mechanical Design

Complete-assembly CAD for packaging and structure.

The aircraft is modeled as a complete assembly to evaluate structural geometry, component packaging, accessibility, propulsion clearances, and center-of-mass placement before manufacturing.

The CAD model is intended to serve as the basis for structural simulation and physical prototyping. As propulsion and electrical configurations are refined, the airframe can be updated for motor size, propeller diameter, battery dimensions, electronics placement, and sensor configuration.

06 — Structural Analysis

FEA and modal evaluation before physical testing.

Analysis in progress

Structural & modal FEA underway

The airframe will be evaluated using structural and modal finite-element analysis to identify stress concentrations, excessive deformation, and potential vibration concerns before physical testing. Results will be published here when validated.

07 — Multidisciplinary Integration

Aerospace decisions constrained by electrical and software needs.

Project ECHO coordinates aerospace/mechanical, electrical, and software disciplines. My primary responsibility is the aerospace/mechanical system, but aircraft decisions must account for requirements from all three areas.

Aerospace
  • Structure
  • Propulsion
  • Mass
  • Aerodynamics
  • Packaging
Electrical
  • Power system
  • Flight controller
  • Sensors
  • Navigation
  • Camera hardware
Software
  • Optimization
  • Data handling
  • Image processing
  • Analysis

08 — Current Development

Project roadmap from mission definition to validation.

  1. 01
    Mission definition

    Problem framing and agricultural survey need.

  2. 02
    System requirements

    Endurance, cost, imaging, packaging, operating context.

  3. 03
    Component research

    Motors, props, batteries, ESCs, sensing hardware.

  4. 04
    Propulsion optimization

    Coupled endurance / cost trade studies in progress.

  5. 05
    Airframe CAD

    Assembly model for packaging, CG, and structure.

  6. 06
    Structural analysis

    Static and modal FEA in progress.

  7. 07
    Sensor integration

    RGB + NIR payload packaging and interfaces.

  8. 08
    Manufacturing

    Prototype fabrication — future work.

  9. 09
    Ground testing

    Static / systems checkout — future work.

  10. 10
    Flight testing

    Flight performance campaigns — future work.

  11. 11
    Performance validation

    Compare predictions to measured data.

Future validation

Closing the loop with flight-test data

The final phase of Project ECHO will compare predicted endurance, structural performance, and system behavior against physical test data. This will allow the analytical models and optimization workflow to be evaluated against real aircraft performance.

The strongest message of this project is not simply building a drone — it is developing the aircraft through requirements, quantitative trade studies, CAD, analysis, multidisciplinary integration, and eventually physical validation.

Ongoing Systems engineering Aerospace lead