When can autonomous operation pay off and when not
Autonomous technology can help make labour and agricultural machinery more efficient. But a retrofit solution for existing tractors only becomes economically interesting when the practical context is right. The model shows which practical factors matter most, from field size and travel time to supervision, downtime and machine utilisation. This gives more insight into situations that may be promising and assumptions that still need to be tested.
Innovation package, use case and test type
Open Field Cultivation
Shared ambition
Status: completed
Evaluation Report Economic Model for an Autonomous Retrofit Kit
Broad knowledge question
The business case starts with the practical context
For technology suppliers, the question is not only whether autonomous operation is technically possible. Just as important is knowing when a retrofit solution for an existing tractor can pay for itself, and when it cannot. This shifts the focus from technical feasibility to economic applicability. To assess this properly, suppliers need to understand when economic value may arise and which technical and business-specific factors shape it.
Approach
Scenarios show what influences the outcome
The project developed an Excel model and tested it with fictitious scenarios. The model explored factors including machine selection, labour, supervision, travel time and malfunctions. This shows how the factors influence each other. Intensive use with limited downtime may lead to a different outcome than a situation in which supervision, travel time or low machine utilisation weigh more heavily.
Goal
Better assess where autonomous operation is promising
The aim was to create a flexible calculation model that compares costs and potential savings with regular operation. This helps technology suppliers decide which applications may be worth further development or practical validation. The model also helps clarify which assumptions about use, supervision and downtime first need further testing. In this way, it contributes to improving decisions around autonomous retrofit solutions.
Result and reflection
Some situations appear more promising than others
The economic potential of an autonomous retrofit solution appears to depend strongly on the practical context. The model shows which factors can make or break the business case. It also shows where autonomous operation may be less economically promising. The outcomes provide direction, but still need to be tested using up-to-date technical and practical data.
Successful outcomes
The model helps technology suppliers explore promising applications of autonomous retrofit solutions.
The model shows which technical and business-specific factors determine economic potential.
Autonomous operation appears to be especially promising with intensive use.
Autonomous operation appears to be especially promising when smaller or lower-cost machines can be used.
Learning points
The economic potential depends strongly on the practical context.
Field size, distance to the field, machine utilisation, supervision, downtime and the chosen tractor-implement combination are especially important.
The results are indicative.
Further validation with up-to-date technical and practical data remains necessary.