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Agronomy
Special Issues
Research and Development in Agricultural Robotics for Field Operations
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Research and Development in Agricultural Robotics for Field Operations

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 2072

Special Issue Editor

Dr. Liangliang Yang

E-Mail Website
Guest Editor
Faculty of Engineering, Kitami Institute of Technology, Koen-Cho 165, Kitami, Hokkaido 090-8507, Japan
Interests: agricultural robots; agricultural machinery; smart agriculture

Special Issue Information

Dear Colleagues,

Sustainable Agricultural developments require more new technologies to improve the efficiency and robustness of food production and meet the challenge of environmental changing. There are many researchers have focused on using robotics technologies to provide efficient solutions for improving productivity of major crops as well as reducing the utilization of chemical fertilizers and pesticides. In addition, some new robots are developed using the latest AI technology for harvesting fruits and vegetables that normally require a lot of human force.  The introduction of robotics and autonomous technology to agriculture requires comprehensive studies of various aspects, including remote sensing, yield production measurement, soil quality analysis, sensors technologies for measuring the field environment and monitoring the crop health, robot’s positioning system, and robot control theories.

 In this Special Issue, we aim to collect the works done by the top class of researchers, engineers all over the world to exchange knowledge on any aspect related to smart agriculture, agricultural robotics, autonomous vehicles, AI and sensors technologies for agriculture to improve agriculture working efficiency and crop production.

Dr. Liangliang Yang
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. Agronomy 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 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.

Keywords

  • agricultural robotics
  • artificial intelligence
  • field perception
  • intelligent equipment
  • precision agriculture

Published Papers (1 paper)

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Research

17 pages, 5246 KiB  
Article
Performance Analysis and Optimization for Steering Motion Mode Switching of an Agricultural Four-Wheel-Steering Mobile Robot
by Jiwei Qu, Hongji Li, Zhe Zhang, Xiaobo Xi, Ruihong Zhang and Kangquan Guo
Agronomy 2022, 12(11), 2655; https://doi.org/10.3390/agronomy12112655 - 27 Oct 2022
Cited by 1 | Viewed by 1666
Abstract
This study focuses on a wheeled mobile robot used for detection, weeding and information monitoring in agriculture. However, it is difficult to reach satisfactory motion mode switching (MMS) performance. This paper aimed at exploring the optimal control parameters guaranteeing smooth MMS of four-wheel [...] Read more.
This study focuses on a wheeled mobile robot used for detection, weeding and information monitoring in agriculture. However, it is difficult to reach satisfactory motion mode switching (MMS) performance. This paper aimed at exploring the optimal control parameters guaranteeing smooth MMS of four-wheel steering. Single factor tests were first conducted using a test-bench. A binary quadratic general rotation combination test was designed to obtain the optimal parameters. An entropy weight method was introduced to construct the four indexes as a comprehensive index. The optimal combination of the parameters was obtained, based on the regression equation. The results showed that the two factors and their interaction had a significant impact on the comprehensive index (p < 0.05). The best combinations of the speed of the stepper motor and locking voltage were 56 r·min−1 and 3.96 V for 15° steering, 72 r·min−1 and 4.35 V for 30°, and 107 r·min−1 and 5.50 V for 45°, respectively. A verification test was performed using the prototype of the robot chassis. The results demonstrated that the MMS process was smooth and stable, and the proposed method was effective. This study is a beneficial exploration of the experimental method concerning wheeled robots. Full article
(This article belongs to the Special Issue Research and Development in Agricultural Robotics for Field Operations)
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