Analysis of Correlation Model Between Agricultural Machinery Purchase Subsidy Policy and Smart Agricultural System
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Graphical Abstract
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Abstract
There is a certain correlation between the subsidy policy of agricultural machinery purchase and the construction of intelligent agricultural machinery system. It used the grey correlation degree to establish the correlation analysis model, and used the extreme neural network algorithm to optimize the model. Thus, the relevance can be applied to the construction of intelligent agricultural system, especially the design of remote scheduling management system of agricultural machinery, which improves the design efficiency of the system. Taking the remote scheduling management of agricultural machinery as an example, it constructed the intelligent agricultural system, and verified the role of the correlation model. The results showed that the intelligent agricultural system can directly call the registration information of agricultural machinery purchase subsidies, which provides data support for the scheduling and management of agricultural machinery.
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