A review of autonomous agricultural vehicles (The experience of Hokkaido University)

被引:53
|
作者
Roshanianfard, Ali [1 ]
Noguchi, Noboru [2 ]
Okamoto, Hiroshi [2 ]
Ishii, Kazunobu [3 ]
机构
[1] Univ Mohaghegh Ardabili, Fac Agr & Nat Resources, Dept Biosyst Engn, Daneshghah St, Ardebil, Iran
[2] Hokkaido Univ, Grad Sch Agr, Lab Vehicle Robot, Kita Ku, Kita 9,Nishi 9, Sapporo, Hokkaido 0608589, Japan
[3] Hokkaido Univ, Res Fac Agr, Kita Ku, Kita 9, Sapporo, Hokkaido 0608589, Japan
关键词
Smart farming; Digital farming; Precision farming; Agricultural robot; Artificial intelligence; Autonomous vehicle; ROBOT COMBINE HARVESTER; NAVIGATION SYSTEM; LASER SCANNER; TRACTOR; DESIGN; GRIPPER; TECHNOLOGIES; PERFORMANCE; INTEGRATION; PRODUCTS;
D O I
10.1016/j.jterra.2020.06.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Robotic farming will play an undeniably significant role in future sustainable agriculture. Autonomous agricultural vehicles for arable crops and their components are reviewed herein, and their differing possible components, advantages and disadvantages are discussed. The autonomous agricultural vehicles are qualified from technical points of view, including each vehicle's hardware unit (platform development, platform, transporter system, operation functions, communication, sensors [positional sensor, attitude sensor, and safety sensor], and control unit), the physical environment, and the control algorithm. The development process for different vehicles is described. As an operational case study, all investigations conducted at Hokkaido University between 1990 and 2018 are discussed and evaluated based on the described classification. The development procedure, the process of component selection, developmental challenges, and the performance indicators of the vehicles are discussed in detail. The development process and applicability of each component are then presented, and recommendations for future studies are noted. Finally, the most important experiences and lessons, and some recommendations are outlined. (C) 2020 ISTVS. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:155 / 183
页数:29
相关论文
共 50 条
  • [2] EVOLUTIONARY ANALYSIS OF AUTONOMOUS AGRICULTURAL VEHICLES
    Masin, Ivan
    PROCEEDING OF 7TH INTERNATIONAL CONFERENCE ON TRENDS IN AGRICULTURAL ENGINEERING 2019, 2019, : 375 - 378
  • [3] Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
    Bai, Yuhao
    Zhang, Baohua
    Xu, Naimin
    Zhou, Jun
    Shi, Jiayou
    Diao, Zhihua
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 205
  • [5] Development of autonomous navigation controller for agricultural vehicles
    Yin, Xiang
    Wang, Yanxin
    Chen, Yulong
    Jin, Chengqian
    Du, Juan
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2020, 13 (04) : 70 - 76
  • [6] Ground based sensing systems for autonomous agricultural vehicles
    Hague, T
    Marchant, JA
    Tillett, ND
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2000, 25 (1-2) : 11 - 28
  • [7] Path Planning for Semi-autonomous Agricultural Vehicles
    Pichler-Scheder, Markus
    Ritter, Reinhard
    Lindinger, Christian
    Amerstorfer, Robert
    Edelbauer, Roland
    REINVENTING MECHATRONICS: DEVELOPING FUTURE DIRECTIONS FOR MECHATRONICS, 2020, : 35 - 53
  • [8] Autonomous Navigation System based on GPS for Agricultural Vehicles
    Zhou, Jianjun
    Wang, Xiu
    Wang, Xiaofang
    Liu, Gang
    Li, Su
    ADVANCED TECHNOLOGIES IN MANUFACTURING, ENGINEERING AND MATERIALS, PTS 1-3, 2013, 774-776 : 1404 - +
  • [9] Moving Horizon Observation for Autonomous Operation of Agricultural Vehicles
    Frasch, Janick V.
    Kraus, Tom
    Saeys, Wouter
    Diehl, Moritz
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 4148 - 4153
  • [10] Towards Semantic Scene Segmentation for Autonomous Agricultural Vehicles
    Mujkic, Esma
    Hermann, Dan
    Ravn, Ole
    Bilde, Morten L.
    Andersen, Nils A.
    16TH IEEE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2020), 2020, : 990 - 995