Work in Progress

Bringing the Farmer Perspective to Agricultural Robots

Authors:

Margot BreretonAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1067 - 1072

https://doi.org/10.1145/2702613.2732894

Published: 18 April 2015 Publication History

Get Access

Abstract

The research reported in this paper explores autonomous technologies for agricultural farming application and is focused on the development of multiple-cooperative agricultural robots (AgBots). These are highly autonomous, small, lightweight, and unmanned machines that operate cooperatively (as opposed to a traditional single heavy machine) and are suited to work on broadacre land (large-scale crop operations on land parcels greater than 4,000m2). Since this is a new, and potentially disruptive technology, little is yet known about farmer attitudes towards robots, how robots might be incorporated into current farming practice, and how best to marry the capability of the robot with the work of the farmer. This paper reports preliminary insights (with a focus on farmer-robot control) gathered from field visits and contextual interviews with farmers, and contributes knowledge that will enable further work toward the design and application of agricultural robotics.

References

[1]

Whelan, B. and Taylor, J. Precision Agriculture for Grain Production Systems. CSIRO Publishing (2013).

Crossref

Google Scholar

[2]

Perez, T. Insights into Future Agricultural Robotic Systems. G. R. a. D. Corporation, Australian Government (2014).

Google Scholar

[3]

Simonsen, J. and T. Robertson. Routledge International Handbook of Participatory Design. Routledge (2012).

Crossref

Google Scholar

Cited By

View all

Yerebakan MHu B(2024)Human–Robot Collaboration in Modern Agriculture: A Review of the Current Research LandscapeAdvanced Intelligent Systems10.1002/aisy.2023008236:7Online publication date: 22-Jan-2024
https://doi.org/10.1002/aisy.202300823
Rose DBhattacharya M(2023)Adoption of autonomous robots in the soft fruit sector: Grower perspectives in the UKSmart Agricultural Technology10.1016/j.atech.2022.1001183(100118)Online publication date: Feb-2023
https://doi.org/10.1016/j.atech.2022.100118
Tran DSchouteten JDegieter MKrupanek JJarosz WAreta AEmmi LDe Steur HGellynck X(2023)European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatmentPrecision Agriculture10.1007/s11119-023-10037-524:6(2200-2222)Online publication date: 12-Jun-2023
https://doi.org/10.1007/s11119-023-10037-5
Show More Cited By

Index Terms

Bringing the Farmer Perspective to Agricultural Robots
1. Human-centered computing

Recommendations

Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Highlights
- A detailed summary about the research status of vision-based navigation technology for agricultural robots was given.
- Vision sensors characteristics and vision information processing methods were summarized.
- The applications of ...
Abstract
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a prerequisite for the accomplishment of various tasks. However, precision navigation of agricultural robots is still a challenging issue due to the complex ...
Autonomous Localization and Navigation for Agricultural Robots in Greenhouse
Abstract
Agricultural robots are an effective way to solve the increasingly prominent shortage of agricultural labor. To meet the needs of practical applications, agricultural robots must be able to locate autonomously and move from one place to another ...
Cooperative Formation Control Study for Agricultural Robot Simulation in Square Farmland Areas
IC3INA '22: Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications

Agricultural land, especially in Indonesia, is generally square, so it has become an exciting topic of study to employ agricultural robots. In the era of the industrial revolution 4.0, agricultural robots were widely used in monitoring tasks, planting ...

Comments

Information & Contributors

Information

Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

Check for updates

Author Tags

Qualifiers

Work in progress

Conference

CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

Acceptance Rates

CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
474
Total Downloads

Downloads (Last 12 months)37
Downloads (Last 6 weeks)1

Reflects downloads up to 09 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yerebakan MHu B(2024)Human–Robot Collaboration in Modern Agriculture: A Review of the Current Research LandscapeAdvanced Intelligent Systems10.1002/aisy.2023008236:7Online publication date: 22-Jan-2024
https://doi.org/10.1002/aisy.202300823
Rose DBhattacharya M(2023)Adoption of autonomous robots in the soft fruit sector: Grower perspectives in the UKSmart Agricultural Technology10.1016/j.atech.2022.1001183(100118)Online publication date: Feb-2023
https://doi.org/10.1016/j.atech.2022.100118
Tran DSchouteten JDegieter MKrupanek JJarosz WAreta AEmmi LDe Steur HGellynck X(2023)European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatmentPrecision Agriculture10.1007/s11119-023-10037-524:6(2200-2222)Online publication date: 12-Jun-2023
https://doi.org/10.1007/s11119-023-10037-5
Degieter MDe Steur HTran DGellynck XSchouteten J(2023)Farmers’ acceptance of robotics and unmanned aerial vehicles: A systematic reviewAgronomy Journal10.1002/agj2.21427115:5(2159-2173)Online publication date: 31-Jul-2023
https://doi.org/10.1002/agj2.21427
Jonas RHanrahan B(2022)Digital Storytelling for Developing Computer Skills in Rural AppalachiaProceedings of the ACM on Human-Computer Interaction10.1145/35556216:CSCW2(1-22)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555621
Spykman OGabriel APtacek MGandorfer M(2021)Farmers’ perspectives on field crop robots – Evidence from Bavaria, GermanyComputers and Electronics in Agriculture10.1016/j.compag.2021.106176186(106176)Online publication date: Jul-2021
https://doi.org/10.1016/j.compag.2021.106176
Rübcke von Veltheim FTheuvsen LHeise H(2021)German farmers’ intention to use autonomous field robots: a PLS-analysisPrecision Agriculture10.1007/s11119-021-09854-323:2(670-697)Online publication date: 25-Sep-2021
https://doi.org/10.1007/s11119-021-09854-3
Shockley JDillon CLowenberg‐DeBoer JMark T(2021)How will regulation influence commercial viability of autonomous equipment in US production agriculture?Applied Economic Perspectives and Policy10.1002/aepp.1317844:2(865-878)Online publication date: 26-Jul-2021
https://doi.org/10.1002/aepp.13178
von Veltheim FHeise H(2020)The AgTech Startup Perspective to Farmers Ex Ante Acceptance Process of Autonomous Field RobotsSustainability10.3390/su12241057012:24(10570)Online publication date: 17-Dec-2020
https://doi.org/10.3390/su122410570
Hardy JWyche SVeinot T(2019)Rural HCI ResearchProceedings of the ACM on Human-Computer Interaction10.1145/33592983:CSCW(1-33)Online publication date: 7-Nov-2019
https://dl.acm.org/doi/10.1145/3359298
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Autonomous Localization and Navigation for Agricultural Robots in Greenhouse

Cooperative Formation Control Study for Agricultural Robot Simulation in Square Farmland Areas