Innovative Strategies for Biological Resource Management and Sustainable Development in the Era of Big Data

In the era of big data, biological resource management faces unprecedented opportunities and challenges. This paper explores how to utilize big data technology to enhance the management efficiency of biological resources and promote sustainable development. First, it analyzes the application of big data in the monitoring, assessment, and decision support of biological resources. Through data mining and analysis tools, a large volume of ecological data can be obtained and processed in real-time to improve resource utilization efficiency. It also proposes innovative management model strategies that combine technologies such as the Internet of Things and artificial intelligence to promote the sustainable use and protection of biological resources. Finally, it emphasizes the importance of policy formulation, public participation, and interdisciplinary collaboration in promoting biological resource management and sustainable development. Therefore, the effective utilization of big data technology in the biological field not only enhances resource management efficiency but also provides new ideas for achieving global sustainable development goals.

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Published
2024-09-20
DOI
https://doi.org/10.1109/iiotbdsc64371.2024.00041
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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Innovative Strategies for Biological Resource Management and Sustainable Development in the Era of Big Data

Shuxiang Yang
Genetics, Bioinformatics, and Biomedical Research
article

Innovative Strategies for Biological Resource Management and Sustainable Development in the Era of Big Data

Shuxiang Yang
article en

Abstract

In the era of big data, biological resource management faces unprecedented opportunities and challenges. This paper explores how to utilize big data technology to enhance the management efficiency of biological resources and promote sustainable development. First, it analyzes the application of big data in the monitoring, assessment, and decision support of biological resources. Through data mining and analysis tools, a large volume of ecological data can be obtained and processed in real-time to improve resource utilization efficiency. It also proposes innovative management model strategies that combine technologies such as the Internet of Things and artificial intelligence to promote the sustainable use and protection of biological resources. Finally, it emphasizes the importance of policy formulation, public participation, and interdisciplinary collaboration in promoting biological resource management and sustainable development. Therefore, the effective utilization of big data technology in the biological field not only enhances resource management efficiency but also provides new ideas for achieving global sustainable development goals.

Wuhan Donghu University (CN)
Wuhan Donghu University
Responsible consumption and production
Openalex Percentile: Top 78%
Genetics, Bioinformatics, and Biomedical Research
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