Lessons to be learned in adoption of autonomous equipment for field crops
James Lowenberg‐DeBoer, Karl Behrendt, Melf‐Hinrich Ehlers, Carl R. Dillon, Andreas Gabriel, Iona Yuelu Huang, I. Kumwenda, Tyler Mark, Andreas Meyer‐Aurich, Gábor Milics, Kehinde Oluseyi Olagunju, Søren Marcus Pedersen, Jordan M. Shockley, David Christian Rose
- Year
- 2021
- Citations
- 52
- Access
- Open access
Abstract
Abstract Autonomous equipment for crop production is on the verge of technical and economic feasibility, but government regulation may slow its adoption. Key regulatory issues include requirements for on‐site human supervision, liability for autonomous machine error, and intellectual property in robotic learning. As an example of the impact of regulation on the economic benefits of autonomous crop equipment, analysis from the United Kingdom suggests that requiring 100% on‐site human supervision almost wipes out the economic benefits of autonomous crop equipment for small and medium farms and increases the economies‐of‐scale advantage of larger farms.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992