From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production

被引:59
作者
Wang, Tan [1 ,2 ,3 ,4 ]
Xu, Xianbao [1 ,2 ,3 ,4 ]
Wang, Cong [1 ,2 ,3 ,4 ]
Li, Zhen [1 ,2 ,3 ,4 ]
Li, Daoliang [1 ,2 ,3 ,4 ]
机构
[1] China Agr Univ, Natl Innovat Ctr Digital Fishery, Beijing 100083, Peoples R China
[2] Beijing Engn & Technol Res Ctr Internet Things Ag, Beijing 100083, Peoples R China
[3] Minist Agr, Key Lab Agr Informat Acquisit Technol, Beijing 100083, Peoples R China
[4] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
来源
AGRICULTURE-BASEL | 2021年 / 11卷 / 02期
关键词
unmanned farm; accurate perception; intelligent decision; auto-work; WIRELESS SENSOR NETWORKS; PRECISION AGRICULTURE; BIG DATA; COMPUTER VISION; FISH; IOT; AQUACULTURE; BEHAVIOR; SYSTEM; ROBOT;
D O I
10.3390/agriculture11020145
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Agriculture is the most important industry for human survival and solving the hunger problem worldwide. With the growth of the global population, the demand for food is increasing, which needs more agriculture labor. However, the number of people willing to engage in agricultural work is decreasing, causing a severe shortage of agricultural labor. Therefore, it is necessary to study the mode of agricultural production without labor force participation. With the rapid development of the Internet of Things, Big Data, artificial intelligence, robotics and fifth-generation (5G) communication technology, robots can replace humans in agricultural operations, thus enabling the establishment of unmanned farms in the near future. In this review, we have defined unmanned farms, introduced the framework of unmanned farms, analyzed the current state of the technology and how these technologies can be used in unmanned farms, and finally discuss all the technical challenges. We believe that this review will provide guidance for the development of unmanned farms and provide ideas for further investigation of these farms.
引用
收藏
页码:1 / 26
页数:26
相关论文
共 127 条
  • [31] Gonzalez-De-Santos Pablo., 2020, Agronomy-Climate Change and Food Security, P73, DOI [DOI 10.5772/INTECHOPEN.90683, 10.5772/intechopen.90683]
  • [32] Big Data Challenges and Opportunities in Agriculture
    Gopal, Maya P. S.
    Chintala, Bhargavi Renta
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2020, 11 (01) : 48 - 66
  • [33] Hajjaj SSH, 2016, 2016 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IRIS), P194, DOI 10.1109/IRIS.2016.8066090
  • [34] Machine learning for predicting greenhouse gas emissions from agricultural soils
    Hamrani, Abderrachid
    Akbarzadeh, Abdolhamid
    Madramootoo, Chandra A.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 741
  • [35] Towards on-farm pig face recognition using convolutional neural networks
    Hansen, Mark E.
    Smith, Melvyn L.
    Smith, Lyndon N.
    Salter, Michael G.
    Baxter, Emma M.
    Farish, Marianne
    Grieve, Bruce
    [J]. COMPUTERS IN INDUSTRY, 2018, 98 : 145 - 152
  • [36] Hengyu Chen, 2020, Journal of Physics: Conference Series, V1486, DOI 10.1088/1742-6596/1486/7/072033
  • [37] Agriculture in 2050: Recalibrating Targets for Sustainable Intensification
    Hunter, Mitchell C.
    Smith, Richard G.
    Schipanski, Meagan E.
    Atwood, Lesley W.
    Mortensen, David A.
    [J]. BIOSCIENCE, 2017, 67 (04) : 385 - 390
  • [38] Jaiganesh S, 2017, 2017 CONFERENCE ON EMERGING DEVICES AND SMART SYSTEMS (ICEDSS), P260, DOI 10.1109/ICEDSS.2017.8073690
  • [39] "If they don't tell us what they do with it, why would we trust them?" Trust, transparency and benefit-sharing in Smart Farming
    Jakku, Emma
    Taylor, Bruce
    Fleming, Aysha
    Mason, Claire
    Fielke, Simon
    Sounness, Chris
    Thorburn, Peter
    [J]. NJAS-WAGENINGEN JOURNAL OF LIFE SCIENCES, 2019, 90-91
  • [40] Apple harvesting robot under information technology: A review
    Jia, Weikuan
    Zhang, Yan
    Lian, Jian
    Zheng, Yuanjie
    Zhao, Dean
    Li, Chengjiang
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (03)