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Scientific and technical issues in agricultural monitoring and early warning
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Science & Technology Review | 2018, 36(11) : 32 - 44
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Science & Technology Review | 2018, 36(11): 32-44
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Scientific and technical issues in agricultural monitoring and early warning
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XU Shiwei
Affiliations
    Agricultural Information Institute, Chinese Academy of Agricultural Sciences;Key Laboratory of Agri-Informatics, Ministry of Agriculture;Key Laboratory of Digital Agricultural Early-warning Technology, Chinese Academy of Agricultural Sciences;Beijing Engineering Research Center of Agricultural Monitoring and Early Warning, Beijing 100081, China
Published: 2018-06-13 doi: 10.3981/j.issn.1000-7857.2018.11.004
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Agricultural monitoring and early warning (AMEW) is a high-end tool of modern agricultural management and the high-risk nature of agriculture determines that AMEW must be concomitant with the development of modern agriculture. Scientific and technical issues in AMEW are reviewed in this paper. Firstly, the main contents and difficulties of data acquisition, data analysis and data application and service in AMEW are analyzed and discussed emphatically. Then, major scientific questions are raised including data perception in an uncertain state, the parameter rule under micro-data and big data, influence entanglement in complex system. Finally, important technology progresses including the agricultural standardization technology, advanced data acquisition technology and intelligent analysis system development are reviewed, and the main direction of future agricultural monitoring and early warning is proposed.
agricultural information  /  information acquisition  /  information analysis  /  agricultural monitoring and early warning
许世卫. 农业监测预警中的科学与技术问题. 科技导报, 2018 , 36 (11) : 32 -44 . DOI: 10.3981/j.issn.1000-7857.2018.11.004
XU Shiwei. Scientific and technical issues in agricultural monitoring and early warning[J]. Science & Technology Review, 2018 , 36 (11) : 32 -44 . DOI: 10.3981/j.issn.1000-7857.2018.11.004
Year 2018 volume 36 Issue 11
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doi: 10.3981/j.issn.1000-7857.2018.11.004
  • Receive Date:2018-03-14
  • Online Date:2018-06-15
  • Published:2018-06-13
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  • Received:2018-03-14
  • Revised:2018-04-16
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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