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Smart Agriculture Driven by Edge Computing under the Digital Background
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Yu Feng1, Hua Zhao1, Zehao Wang2, Nana Yao3
Journal of Technology Economics | 2024, 43(7) : 40 - 52
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Journal of Technology Economics | 2024, 43(7): 40-52
Industry Technology Economics
Smart Agriculture Driven by Edge Computing under the Digital Background
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Yu Feng1, Hua Zhao1, Zehao Wang2, Nana Yao3
Affiliations
  • 1 College of Economics and Business Administration Chongqing University Chongqing 400044 China
  • 2 School of Management Huazhong University of Science and Technology Wuhan 430074 China
  • 3 College of Economics and Management Northwest A&F University Yangling 712100 China
Published: 2024-07-10 doi: 10.12404/j.issn.1002-980X.J240101314
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In the wave of global digital economy, AI, cloud computing, big data and other technologies were revolutionizing the economy and livelihoods, driving agriculture into a data-oriented digital era. Agriculture has experienced manual work, mechanization to initial automation, and is now rapidly stepping into the era of smart agriculture led by the new generation of information technology. The construction of smart agriculture driven by edge computing was focused on, a technological paradigm that is essential to overcome the challenges of agricultural data management and decision making. By virtue of near-source processing of data, edge computing enables real-time analysis and low-latency response of data, demonstrating high adaptability and stability to the limitations of agricultural infrastructure. Empirical research data show that integrated edge intelligence solutions greatly enhance data processing capabilities and reduce costs, validating their potential for significant efficiency gains under synergistic effects. It not only focuses on the improvement of production efficiency, but also deeply analyzes the multiple benefits of edge computing in agricultural data processing and decision making, covering economic benefits, social and ecological dimensions. It not only strengthens the foundation of agricultural market stability and sustainable development, but also provides a solid theoretical framework and strategic guidance for the innovative practice and future development of smart agriculture.

edge computing  /  data-driven smart  /  agricultural supply chain  /  sustainable development
Yu Feng, Hua Zhao, Zehao Wang, Nana Yao. Smart Agriculture Driven by Edge Computing under the Digital Background[J]. Journal of Technology Economics, 2024 , 43 (7) : 40 -52 . DOI: 10.12404/j.issn.1002-980X.J240101314
Year 2024 volume 43 Issue 7
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Article Info
doi: 10.12404/j.issn.1002-980X.J240101314
  • Receive Date:2024-01-03
  • Online Date:2025-07-25
  • Published:2024-07-10
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  • Received:2024-01-03
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Affiliations
    1 College of Economics and Business Administration Chongqing University Chongqing 400044 China
    2 School of Management Huazhong University of Science and Technology Wuhan 430074 China
    3 College of Economics and Management Northwest A&F University Yangling 712100 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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