Robohub.org
 

Agricultural robotics and employment


by
12 June 2011



share this:

At least with regard to agriculture, the effect of robotics upon employment depends on the approach taken. If your goal is to further reduce the number of people deriving an income from farming, and you are willing to accept any other sort of expense to that end (autonomous tractors for instance), then you can probably manage to reduce the percentage of the workforce engaged in agricultural production to an even smaller fraction of 1%.

 

If your goal is to maximize the production of those crops that are easily produced and handled in bulk and survive long-term storage well, in the interest of generating return on capital investment and foreign exchange, and only care about how it’s done insofar as that impacts the bottom line, you might conclude that capital expenditures to further minimize payroll would generally not be cost effective, that it would cost more to replace the remaining workforce than to keep it.

 

However, if you’re interested in guaranteeing the sustainability of production far into the future, despite climate change, while also halting soil loss, ending the use of poisons, preserving remaining diversity in both crop and native genomes, and rebalancing production for healthier diets, you may need both more sophisticated machinery and all the people you can recruit.

 

Such a complicated goal implies complex operations, and complex operations imply a large variety of tasks, some easily mechanized and others common enough to make mechanization worthwhile, even though challenging. Those that are neither common nor easily mechanized will fall to human workers, farmers and farmhands, who are far more adaptable than any machine.

 

At some point in the future it may become possible to build machines adaptable enough to take the place of a farmer, but until the annual cost of ownership of such a machine drops below the annual cost of one human worker, it won’t make economic sense to deploy them, and without an infrastructure to drive down the cost of robotics, that may never happen.



tags: , ,


John Payne





Related posts :



Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence