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23 June 2020 Trend Prediction of Agricultural Machinery Power in China Coastal Areas Based on Grey Relational Analysis
Xianghui Hui, Yanhong Sun, Fei Yin, Wentao Dun
Author Affiliations +
Abstract

Hui, X.; Sun, Y.; Yin, F., and Dun, W., 2020. Trend prediction of agricultural machinery power in China coastal areas based on grey relational analysis. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 299–304. Coconut Creek (Florida), ISSN 0749-0208.

Use the Grey system theory to analyze the influencing factors of the total power demand of China's Agriculture-machinery and predict the development trend of the next 6 years. The results follow: at the present stage, the total level of China's Agriculture-machinery and mechanization has a great impact on the total Agriculture-mechanization income. The development of China's large-scale Agriculture-machinery industry is also an “extensive” interest-driven model and will be improved to some extent in the next 5-6 years. The Agriculture-machinery total number, Agriculture-machinery power distribution is not scientific, the scale operation problem of blind pursuit. And the article pointed out that the current changes in China agricultural enterprises are the pursuit of profits. In the current situation, investment in technology R&D funds and other recommendations should be strengthened to improve competition in the middle and low-end market.

©Coastal Education and Research Foundation, Inc. 2020
Xianghui Hui, Yanhong Sun, Fei Yin, and Wentao Dun "Trend Prediction of Agricultural Machinery Power in China Coastal Areas Based on Grey Relational Analysis," Journal of Coastal Research 103(sp1), 299-304, (23 June 2020). https://doi.org/10.2112/SI103-063.1
Received: 12 August 2019; Accepted: 5 February 2020; Published: 23 June 2020
KEYWORDS
Agriculture-mechanization
correlation analysis
grey system theory
rend prediction
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