- Measure productivity as a complete application system, not just flight settings.
- Tendering tasks such as water refills, battery swaps, fill times, and ferrying distance affect downtime; small improvements compound into large productivity gains.
- Use the calculator to test variables; swath and speed are limited by agronomics, so tender capacity and staging often determine real output.
This text was generated by OpenAI GPT 5 Mini
Drone operational settings such as capacity, speed, and swath width are useful figures for calculating productivity, but they only describe the airborne portion of the job. A commercial application business must also transport water, mix product, charge batteries, and establish an efficient staging area that is both safe for operators and maintains drone connectivity. If any of these functions fall behind, productivity suffers.
We used one Ontario operator’s experience to show why drone productivity is measured as a complete application system, and not just flight settings. Download our offline version of the calculator or try it online at the end of this article. It has been pre-populated with the metrics from a corn fungicide case study. Agronomic context matters when considering operational settings.
How to use
Adjust a single variable to see what effect it has on productivity. Return the variable to its original value, then change another. That way you can explore the relative influence of each variable on the overall job.
Which factors matter most?
The factors that have the biggest impact on productivity are situation-specific, but here are some generic observations:
- While swath width and flight speed play a role, both are limited by the agronomic realities of the job, so there may not be much latitude to change these figures.
- Water volume used has an impact on productivity, but once again there are agronomic considerations. Too low a volume can compromise product efficacy and contribute to off target drift, and quite often the minimum volume is stipulated on the product label.
- The drone’s tank capacity depends on the model, but maxing it out may not be the best option. Some large drones suffer reduced battery life and slower acceleration when filled completely.
- The ferrying distance between where the drone empties and the staging area is variable throughout the job. This is why the calculator asks for an estimated average. Minimizing this number is an important consideration, but it may not be subject to change because the staging area location is primarily a function of field access, drone connectivity and operator safety.
- The time to fill the drone and swap batteries plays a large role in productivity, depending on how many cycles are involved. Small improvements here compound into big impacts.
- Tender water tank capacity (and refills) play a big role as well. If the operator has to stop spraying to retrieve more water, the drone isn’t spraying.
Enter the parameters from your own operation to see what happens. The drone settings get a lot of the attention, but it’s tendering efficiency that keeps it earning.
Drone Productivity Calculator
Estimate field productivity, application time and water-support requirements with live operational modelling.
Field and flight inputs
Water and support logistics
Advanced flight model
Time by activity
Operational balance
Operation details
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