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Research Progress on Key Technologies of Smart Forestry in China
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Hailiang LI1, Yiqing LI2, Shengpei DAI1, 3, Hongxia LUO1, Maofen LI1, Jihua FANG1, *
Chinese Journal of Tropical Crops | 2024, 45(11) : 2476 - 2486
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Chinese Journal of Tropical Crops | 2024, 45(11): 2476-2486
• Agricultural Ecology & Environmental Protection •
Research Progress on Key Technologies of Smart Forestry in China
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Hailiang LI1, Yiqing LI2, Shengpei DAI1, 3, Hongxia LUO1, Maofen LI1, Jihua FANG1, *
Affiliations
  • 1.Institute of Scientific and Technological Information, Chinese Academy of Tropical Agricultural Sciences / Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou, Hainan 571101, China
  • 2.School of Forestry and Grass, School of Water and Soil Conservation, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
  • 3.College of Geography and Environmental Sciences, Hainan Normal University, Haikou, Hainan 571158, China
Published: 2024-11-25 doi: 10.3969/j.issn.1000-2561.2024.11.025
Outline
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China's forestry informatization has entered the stage of smart forestry，and the new generation of information technology plays an important role in the smart forestry. Based on the connotation and development path of smart forestry, this paper refines the system architecture of smart forestry, expounds the research status of key technologies in smart forestry, such as Internet of Things, 3S and BeiDou Navigation, Cloud Computing, Big Data, Mobile Internet, etc., analyzes its main problems, and discusses its development trend and research focus. It is showed that there are some problems in the research of the key technologies of smart forestry in China, such as incomplete infrastructure, high cost, inconsistent technical standards, weak information interconnection, unstable data quality, data mining not deep enough, insufficient technology integration and lack of professional and technical talents. It is suggested that the research focus of the key technologies in China’s smart forestry in the future will be on four aspects: forestry data mining and deep application, forestry cloud remote sensing big data research, forestry block data research, and the deep integration of forestry internet of things, cloud computing, and mobile internet.

smart forestry  /  Internet of Things  /  3S  /  Cloud Computing  /  Big Data  /  Mobile Internet
Hailiang LI, Yiqing LI, Shengpei DAI, Hongxia LUO, Maofen LI, Jihua FANG. Research Progress on Key Technologies of Smart Forestry in China[J]. Chinese Journal of Tropical Crops, 2024 , 45 (11) : 2476 -2486 . DOI: 10.3969/j.issn.1000-2561.2024.11.025
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Article Info
doi: 10.3969/j.issn.1000-2561.2024.11.025
  • Receive Date：2023-06-01
  • Online Date：2026-06-26
  • Published：2024-11-25
Article Data
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History
  • Received：2023-06-01
  • Revised：2023-12-11
Funding
Affiliations
    1.Institute of Scientific and Technological Information, Chinese Academy of Tropical Agricultural Sciences / Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou, Hainan 571101, China
    2.School of Forestry and Grass, School of Water and Soil Conservation, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
    3.College of Geography and Environmental Sciences, Hainan Normal University, Haikou, Hainan 571158, China
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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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