sensors-logo

Journal Browser

Journal Browser

Sensors for Autonomous Agricultural Robotics

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 4424

Special Issue Editor


E-Mail Website
Guest Editor
University of Applied Sciences, Osnabrück, Faculty of Engineering and Computer Science / Competence Center of Applied Agricultural Engineering COALA, Albrechstr. 30, D-49076 Osnabrück, Germany
Interests: image-based sensor systems; agricultural field robotics; sensor data fusion; field-based phenotyping; optoelectronics

Special Issue Information

Dear Colleagues,

The potential of autonomous field robotics with respect to economic, ecologic as well as social aspects has come into focus. This does not only affect the processes itself—such as weeding or harvesting—but includes the integration into the farm (examples are field logistics or remote service) and the supply chain network. However, the transfer from research to products is hampered by the non-availability of robust sensor solutions. Agricultural machinery do not only navigate (such as in automotive applications), but have to work under complex varying conditions; therefore, sensors for agricultural processing, safety issues, and navigation are innovation drivers for autonomy. Thus, this Special Issue is aimed to the research and technology transfer of intelligent sensors for autonomous agricultural robotics.

  • sensor and multisensor systems for processing, navigation, and safety
  • computer vision, machine learning, and artificial intelligence
  • robustness of sensors and algorithms
  • low-cost sensor solutions
  • development and simulation methods (such as digital twins, test stands, and reference environments)
  • certification, standardization, and measurement methodologies
  • applications in agriculture contexts such as crop production, livestock farming, horticulture, or forestry

Prof. Dr. Arno Ruckelshausen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:
18 pages, 2705 KiB  
Technical Note
Concept and Realization of a Novel Test Method Using a Dynamic Test Stand for Detecting Persons by Sensor Systems on Autonomous Agricultural Robotics
by Christian Meltebrink, Tom Ströer, Benjamin Wegmann, Cornelia Weltzien and Arno Ruckelshausen
Sensors 2021, 21(7), 2315; https://doi.org/10.3390/s21072315 - 26 Mar 2021
Cited by 11 | Viewed by 3439
Abstract
As an essential part for the development of autonomous agricultural robotics, the functional safety of autonomous agricultural machines is largely based on the functionality and robustness of non-contact sensor systems for human protection. This article presents a new step in the development of [...] Read more.
As an essential part for the development of autonomous agricultural robotics, the functional safety of autonomous agricultural machines is largely based on the functionality and robustness of non-contact sensor systems for human protection. This article presents a new step in the development of autonomous agricultural machine with a concept and the realization of a novel test method using a dynamic test stand on an agricultural farm in outdoor areas. With this test method, commercially available sensor systems are tested in a long-term test around the clock for 365 days a year and 24 h a day on a dynamic test stand in continuous outdoor use. A test over a longer period of time is needed to test as much as possible all occurring environmental conditions. This test is determined by the naturally occurring environmental conditions. This fact corresponds to the reality of unpredictable/determinable environmental conditions in the field and makes the test method and test stand so unique. The focus of the developed test methods is on creating own real environment detection areas (REDAs) for each sensor system, which can be used to compare and evaluate the autonomous human detection of the sensor systems for the functional safety of autonomous agricultural robots with a humanoid test target. Sensor manufacturers from industry and the automotive sector provide their sensor systems to have their sensors tested in cooperation with the TÜV. Full article
(This article belongs to the Special Issue Sensors for Autonomous Agricultural Robotics)
Show Figures

Figure 1

Back to TopTop