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Current status and development trends of soil moisture monitoring technologies
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Ning GAO1, 2, Anqi ZHANG2, 3, Hebo MEI2, Xinghua YANG1, 2, Lei GAN2, Zhijun MENG1, 2, 3, *
Journal of Intelligent Agricultural Mechanization | 2024, 5(3) : 51 - 62
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Journal of Intelligent Agricultural Mechanization | 2024, 5(3): 51-62
Current status and development trends of soil moisture monitoring technologies
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Ning GAO1, 2, Anqi ZHANG2, 3, Hebo MEI2, Xinghua YANG1, 2, Lei GAN2, Zhijun MENG1, 2, 3, *
Affiliations
  • 1.College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 2.Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
  • 3.State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing 100097, China
Published: 2024-08-15 doi: 10.12398/j.issn.2096-7217.2024.03.006
Outline
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As agricultural production continues to increase its requirements for field management, traditional agricultural machinery and equipment have gradually become difficult to meet the production needs of modern smart agriculture. In this context, soil moisture monitoring technology, as a key means of obtaining soil moisture information in modern agricultural management, is playing an important role in promoting the development of agricultural machinery towards intelligence and automation. Therefore, this study thoroughly reviews and analyzes the current research status of soil moisture monitoring technology at home and abroad, focusing on the research progress of three aspects of soil moisture monitoring methods and principles, model construction algorithms, and signal processing methods. Through comparative analysis, the differences and similarities in monitoring methods, principles, model construction algorithms, and signal processing methods at home and abroad, as well as the problems and challenges in practical applications, are summarized. The future development trends of soil moisture monitoring technology in these three aspects are proposed: in terms of soil moisture monitoring methods, a multi-source soil moisture monitoring information platform is constructed to achieve more comprehensive data collection and analysis; In terms of model construction algorithms, machine learning and deep learning algorithms are adopted to customize model algorithm modules for different soil environments and working scenarios, improving the accuracy and applicability of monitoring equipment; In terms of signal processing, the application of multi-source signal fusion technology is strengthened to reduce the impact of the working environment on monitoring equipment.

soil moisture  /  airborne monitoring  /  in situ monitoring  /  machine learning  /  deep learning  /  signal processing
高宁, 张安琪, 梅鹤波, 杨兴华, 甘蕾, 孟志军. 土壤墒情监测技术研究现状与发展趋势. 智能化农业装备学报(中英文), 2024 , 5 (3) : 51 -62 . DOI: 10.12398/j.issn.2096-7217.2024.03.006
Ning GAO, Anqi ZHANG, Hebo MEI, Xinghua YANG, Lei GAN, Zhijun MENG. Current status and development trends of soil moisture monitoring technologies[J]. Journal of Intelligent Agricultural Mechanization, 2024 , 5 (3) : 51 -62 . DOI: 10.12398/j.issn.2096-7217.2024.03.006
Year 2024 volume 5 Issue 3
28
9
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Article Info
doi: 10.12398/j.issn.2096-7217.2024.03.006
  • Receive Date:2024-03-05
  • Online Date:2026-11-05
  • Published:2024-08-15
Article Data
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History
  • Received:2024-03-05
  • Revised:2024-07-03
Funding
Affiliations
    1.College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
    2.Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    3.State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing 100097, 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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