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Reducing Fish Egg Mortality with Drone Delivery: The Victory Farms Case

  • Liz
  • 12 minutes ago
  • 2 min read

TLDR Summary

Client type: Commercial aquaculture operator

Project scope: Drone delivery of fish eggs from HEAP to hatchery, including waypoint testing

Key challenge: High mortality rates caused by time, vibration, and handling during truck transport

Delivery: Drone-based egg transport, validated flight paths, SOPs for scaling, and local pilot job creation


Outcomes:

  • Reduced delivery time from ~75 minutes by car to ~12 minutes by drone

  • 6-9% Lower fish egg mortality (equivalent to millions of eggs surviving)

  • More consistent, repeatable transport conditions

  • Foundation for scalable drone logistics operations


Materials generated:

  • Drone delivery SOPs

  • Time-comparison benchmarks

  • Early operational playbook for aquaculture logistics


Full Case Study

Victory Farms operates in the aquaculture industry, where the health of fish eggs during early-stage transport directly impacts production yields and long-term farm performance. Moving eggs from controlled environments to hatcheries is a time-sensitive operation. Small inefficiencies during transport can lead to outsized losses.

Victory Farms was exploring new logistics methods to reduce mortality while improving operational efficiency, particularly for short-distance but time-critical movements between facilities.


Challenge

Prior to drone deployment, fish eggs were transported by truck from HEAP to the hatchery. While the distance was relatively short, the method introduced several risks:

  • Longer exposure time outside optimal conditions

  • Vibration and movement during road transport

  • Manual handling steps that increased stress on eggs

  • Inconsistent delivery times depending on vehicle availability

These factors contributed to higher-than-acceptable egg mortality rates. The client needed a faster, more controlled transport method that could be repeated reliably and scaled over time.


Approach

The drone team designed and executed a focused pilot project centered on speed, repeatability, and operational realism.



Key elements of the approach included:

  • Waypoint testing: Validated safe, repeatable flight paths between HEAP and the hatchery to ensure consistency and reliability.

  • Drone-based egg delivery: Transported fish eggs using drones, minimizing transit time and reducing exposure to vibration and handling.

  • Operational SOP development: Created standard operating procedures covering:

    • Pre-flight checks

    • Payload handling

    • Launch and recovery

    • Contingency planning


  • Workforce integration: Designed operations with local pilot involvement, supporting job creation and long-term operational sustainability.

The focus was not just proving a single flight, but building a framework Victory Farms could realistically expand.


Results

The project delivered measurable operational improvements and strategic value.

Observed outcomes included:

  • Time reduction: Delivery time was cut from approximately 75 minutes by car to 12 minutes by drone.

  • Reduced mortality: Faster, smoother transport contributed to a noticeable reduction in fish egg mortality.

  • Improved consistency: Drone flights followed standardized routes with predictable timing.

  • Scalability readiness: SOPs and trained local pilots positioned Victory Farms to expand drone operations without starting from scratch.


Why This Matters for Similar Buyers

Aquaculture operations face a narrow margin for error during early life stages. Even short transport delays can affect yield.

This project demonstrates that drones are not just experimental tools, they can serve as practical logistics infrastructure when:

  • Transport is time-sensitive

  • Cargo is fragile

  • Routes are repeatable

  • Scale and workforce integration are planned from day one

For aquaculture operators, hatcheries, and agricultural logistics teams, drone delivery offers a path to higher survival rates and more resilient operations.


Stay tuned for more.

Till next time,

Kui


 
 
 

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