Field Robots for Intelligent Farms-Inhering Features from Industry

被引:91
作者
Gonzalez-de-Santos, Pablo [1 ]
Fernandez, Roemi [1 ]
Sepulveda, Delia [1 ]
Navas, Eduardo [1 ]
Emmi, Luis [1 ]
Armada, Manuel [1 ]
机构
[1] Ctr Automat & Robot UPM CSIC, Madrid 28500, Spain
来源
AGRONOMY-BASEL | 2020年 / 10卷 / 11期
关键词
agricultural manipulator; autonomous mobile robot; multirobot system; precision agriculture; intelligent farms; smart farm; CYBER-PHYSICAL SYSTEMS; PEST-CONTROL; WEED; ACCURACY; INTERNET; MODEL;
D O I
10.3390/agronomy10111638
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Estimations of world population growth urgently require improving the efficiency of agricultural processes, as well as improving safety for people and environmental sustainability, which can be opposing characteristics. Industry is pursuing these objectives by developing the concept of the "intelligent factory" (also referred to as the "smart factory") and, by studying the similarities between industry and agriculture, we can exploit the achievements attained in industry for agriculture. This article focuses on studying those similarities regarding robotics to advance agriculture toward the concept of "intelligent farms" (smart farms). Thus, this article presents some characteristics that agricultural robots should gain from industrial robots to attain the intelligent farm concept regarding robot morphologies and features as well as communication, computing, and data management techniques. The study, restricted to robotics for outdoor farms due to the fact that robotics for greenhouse farms deserves a specific study, reviews different structures for robot manipulators and mobile robots along with the latest techniques used in intelligent factories to advance the characteristics of robotics for future intelligent farms. This article determines similarities, contrasts, and differences between industrial and field robots and identifies some techniques proven in the industry with an extraordinary potential to be used in outdoor farms such as those derived from methods based on artificial intelligence, cyber-physical systems, Internet of Things, Big Data techniques, and cloud computing procedures. Moreover, different types of robots already in use in industry and services are analyzed and their advantages in agriculture reported (parallel, soft, redundant, and dual manipulators) as well as ground and aerial unmanned robots and multi-robot systems.
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页数:24
相关论文
共 76 条
[1]  
ABB, 2018, YUM CREAT AUT FUT TO
[2]  
[Anonymous], 2011, P 6 NAT C CONTR ARCH
[3]  
[Anonymous], 2012, J PRODUCTION ENG
[4]  
[Anonymous], 2016, AGR KNOWL INN SYST F
[5]  
Bacco M., 2018, 2018 IOT VERTICAL TO
[6]   A path following algorithm for mobile robots [J].
Bakker, Tijmen ;
van Asselt, Kees ;
Bontsema, Jan ;
Mueller, Joachim ;
van Straten, Gerrit .
AUTONOMOUS ROBOTS, 2010, 29 (01) :85-97
[7]  
Baur J, 2012, IEEE ASME INT C ADV, P823, DOI 10.1109/AIM.2012.6265928
[8]   Robot for weed species plant-specific management [J].
Bawden, Owen ;
Kulk, Jason ;
Russell, Ray ;
McCool, Chris ;
English, Andrew ;
Dayoub, Feras ;
Lehnert, Chris ;
Perez, Tristan .
JOURNAL OF FIELD ROBOTICS, 2017, 34 (06) :1179-1199
[9]  
Bechar A., 2010, Stewart Postharvest Review, V6, P1, DOI [DOI 10.2212/SPR.2010.3.11, 10.2212/spr.2010.3.11]
[10]   Agricultural robots for field operations: Concepts and components [J].
Bechar, Avital ;
Vigneault, Clement .
BIOSYSTEMS ENGINEERING, 2016, 149 :94-111