Automation and Robots in Agriculture

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Agricultural and Field Robotics".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 10973

Special Issue Editors


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Guest Editor
Department of Bioresource Engineering at the Macdonald Campus of McGill University, Ste-Anne-de-Bellevue, QC, Canada
Interests: digital agriculture; plant phenotyping; machine/deep learning; remote sensing; image/point cloud processing
Special Issues, Collections and Topics in MDPI journals
Horticulture Section, School of Integrative Plant Science, Cornell AgriTech, Cornell University, Ithaca, NY 14850, USA
Interests: agricultural robotics; multimodal sensing and analytics; artificial intelligence in agriculture

Special Issue Information

Dear Colleagues, 

Climate change presents unprecedented challenges to grow agricultural crops in many parts of the world along with the ever-increasing demands in food and nutrients from agrifood systems. Therefore, it is urgent to design intelligent and innovative agricultural systems to improve the efficiency of crop production and control environmental impacts caused by, e.g, carbon footprints. Automation and robotics play an essential role in breeding new crop cultivars with the desired performance and optimizing farm management practices. Recently, it has gained increasing attention, and much effort has been invested in developing both hardware platforms and software methodologies for agricultural applications, such as automatic sowing, weeding, cutting, spraying, monitoring, harvesting, sorting, and packaging. There is great room for further growth and the adoption of automatic systems in agricultural production in the future. The objective of this Special Issue is to provide an opportunity to present and promote the most recent research and development in automation and robotics related to agricultural applications. 

Dr. Shangpeng Sun
Dr. Yu Jiang
Guest Editors

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. Robotics is an international peer-reviewed open access monthly 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 1800 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.

Keywords

  • automation
  • field robotics
  • digital agriculture
  • robot modeling and simulation
  • path planning
  • autonomous navigation
  • robot kinematics and control

Published Papers (2 papers)

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Research

21 pages, 1376 KiB  
Article
Towards Safe Robotic Agricultural Applications: Safe Navigation System Design for a Robotic Grass-Mowing Application through the Risk Management Method
by José Carlos Mayoral Baños, Pål Johan From and Grzegorz Cielniak
Robotics 2023, 12(3), 63; https://doi.org/10.3390/robotics12030063 - 23 Apr 2023
Cited by 2 | Viewed by 2082
Abstract
Safe navigation is a key objective for autonomous applications, particularly those involving mobile tasks, to avoid dangerous situations and prevent harm to humans. However, the integration of a risk management process is not yet mandatory in robotics development. Ensuring safety using mobile robots [...] Read more.
Safe navigation is a key objective for autonomous applications, particularly those involving mobile tasks, to avoid dangerous situations and prevent harm to humans. However, the integration of a risk management process is not yet mandatory in robotics development. Ensuring safety using mobile robots is critical for many real-world applications, especially those in which contact with the robot could result in fatal consequences, such as agricultural environments where a mobile device with an industrial cutter is used for grass-mowing. In this paper, we propose an explicit integration of a risk management process into the design of the software for an autonomous grass mower, with the aim of enhancing safety. Our approach is tested and validated in simulated scenarios that assess the effectiveness of different custom safety functionalities in terms of collision prevention, execution time, and the number of required human interventions. Full article
(This article belongs to the Special Issue Automation and Robots in Agriculture)
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15 pages, 6571 KiB  
Article
Robotic Complex for Harvesting Apple Crops
by Oleg Krakhmalev, Sergey Gataullin, Eldar Boltachev, Sergey Korchagin, Ivan Blagoveshchensky and Kang Liang
Robotics 2022, 11(4), 77; https://doi.org/10.3390/robotics11040077 - 24 Jul 2022
Cited by 2 | Viewed by 8141
Abstract
The article deals with the concept of building an automated system for the harvesting of apple crops. This system is a robotic complex mounted on a tractor cart, including an industrial robot and a packaging system with a container for fruit collection. The [...] Read more.
The article deals with the concept of building an automated system for the harvesting of apple crops. This system is a robotic complex mounted on a tractor cart, including an industrial robot and a packaging system with a container for fruit collection. The robot is equipped with a vacuum gripper and a vision system. A generator for power supply, a vacuum pump for the gripper and an equipment control system are also installed on the cart. The developed automated system will have a high degree of reliability that meets the requirements of operation in the field. Full article
(This article belongs to the Special Issue Automation and Robots in Agriculture)
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