Open Journal of Ecology

Volume 13, Issue 9 (September 2023)

ISSN Print: 2162-1985   ISSN Online: 2162-1993

Google-based Impact Factor: 1.33  Citations  h5-index & Ranking

Research on Smart Meteorology Serving Agriculture under the Rural Revitalization Strategy—Taking Mingshan Tea as an Example

HTML  XML Download Download as PDF (Size: 283KB)  PP. 649-657  
DOI: 10.4236/oje.2023.139040    73 Downloads   272 Views  
Author(s)

ABSTRACT

It is imperative to prioritize the development of agriculture and rural areas and improve the efficiency of smart meteorological services for agricultural products under the strategy of rural revitalization. In this article, we take Mingshan tea, one of the characteristic industries in Sichuan Province, as an example to explore the related issues of smart meteorology serving agriculture. The status, value, and demand of tea smart meteorological services have been analyzed in this article. In addition, in response to the increasing demand for meteorological services in agricultural production, we have proposed to solve problem of tea meteorological service by strengthening talent, technology, product refinement, and dissemination. We have also proposed specific measures for tea intelligent meteorology to serve agriculture, in order to provide reference for future service practices. We need to continuously improve the methods and content of meteorological services, and improve the level of meteorological services. At the same time, utilizing smart meteorological service methods provides strong support for rural revitalization. This not only increases the income of tea farmers, but also maximizes the technical support role of meteorology in disaster prevention and reduction.

Share and Cite:

Yuan, M., Wang, Q., Wang, Y.L., Yang, Y.B. and Gao, X. (2023) Research on Smart Meteorology Serving Agriculture under the Rural Revitalization Strate-gy—Taking Mingshan Tea as an Example. Open Journal of Ecology, 13, 649-657. https://doi.org/10.4236/oje.2023.139040

Cited by

No relevant information.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.