Agricultural Robotics for Field Operations

被引:190
作者
Fountas, Spyros [1 ]
Mylonas, Nikos [1 ]
Malounas, Ioannis [1 ]
Rodias, Efthymios [1 ]
Santos, Christoph Hellmann [2 ]
Pekkeriet, Erik [3 ]
机构
[1] Agr Univ Athens, Iera Odos 75, Athens 11855, Greece
[2] Fraunhofer IPA, Nobelstr 12, D-70569 Stuttgart, Germany
[3] Wageningen Univ & Res, Wageningen Plant Res, POB 644, NL-6700 AP Wageningen, Netherlands
基金
欧盟地平线“2020”;
关键词
crops; autonomous vehicles; field operations; perception; execution; STRAWBERRY-HARVESTING ROBOT; WEED-CONTROL; SYSTEM; MACHINE; DESIGN; SEGMENTATION; PLATFORM; PLANNER; ROW;
D O I
10.3390/s20092672
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Modern agriculture is related to a revolution that occurred in a large group of technologies (e.g., informatics, sensors, navigation) within the last decades. In crop production systems, there are field operations that are quite labour-intensive either due to their complexity or because of the fact that they are connected to sensitive plants/edible product interaction, or because of the repetitiveness they require throughout a crop production cycle. These are the key factors for the development of agricultural robots. In this paper, a systematic review of the literature has been conducted on research and commercial agricultural robotics used in crop field operations. This study underlined that the most explored robotic systems were related to harvesting and weeding, while the less studied were the disease detection and seeding robots. The optimization and further development of agricultural robotics are vital, and should be evolved by producing faster processing algorithms, better communication between the robotic platforms and the implements, and advanced sensing systems.
引用
收藏
页数:27
相关论文
共 117 条
[51]   Robotic Weed Control System for Tomatoes [J].
Lee W.S. ;
Slaughter D.C. ;
Giles D.K. .
Precision Agriculture, 1999, 1 (1) :95-113
[52]   Study and Experiment on a Wheat Precision Seeding Robot [J].
Lin Haibo ;
Dong Shuliang ;
Liu Zunmin ;
Yi Chuijie .
JOURNAL OF ROBOTICS, 2015, 2015
[53]  
Liu B., ARXIV2019PHYSICS1903
[54]   Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection [J].
Mahmud, Md. Sultan ;
Zaman, Qamar U. ;
Esau, Travis J. ;
Price, Gordon W. ;
Prithiviraj, Balakrishnan .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 158 :219-225
[55]   Multi-objective path planner for an agricultural mobile robot in a virtual greenhouse environment [J].
Mahmud, Mohd Saiful Azimi ;
Abidin, Mohamad Shukri Zainal ;
Mohamed, Zaharuddin ;
Rahman, Muhammad Khairie Idham Abd ;
Iida, Michihisa .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 157 :488-499
[56]   Robotics and labour in agriculture. A context consideration [J].
Marinoudi, Vasso ;
Sorensen, Claus G. ;
Pearson, Simon ;
Bochtis, Dionysis .
BIOSYSTEMS ENGINEERING, 2019, 184 :111-121
[57]   Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops [J].
Moshou, D. ;
Bravo, C. ;
Oberti, R. ;
West, J. S. ;
Ramon, H. ;
Vougioukas, S. ;
Bochtis, D. .
BIOSYSTEMS ENGINEERING, 2011, 108 (04) :311-321
[58]   Design and simulation of an integrated end-effector for picking kiwifruit by robot [J].
Mu L. ;
Cui G. ;
Liu Y. ;
Cui Y. ;
Fu L. ;
Gejima Y. .
Information Processing in Agriculture, 2020, 7 (01) :58-71
[59]  
Mueller-Sim Tim, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA), P3634, DOI 10.1109/ICRA.2017.7989418
[60]   Development of a teleoperation system for agricultural vehicles [J].
Murakami, N. ;
Ito, A. ;
Will, Jeffrey D. ;
Steffen, Michael ;
Inoue, K. ;
Kita, K. ;
Miyaura, S. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2008, 63 (01) :81-88