Abstract
As a traditional agricultural country, agriculture is the foundation of China's economic and social development. Therefore, promoting the development of agriculture is a necessary way to realize common prosperity. Applying the PageRank algorithm to agriculture can not only liberate the labor force, but also improve the crop yield to achieve economic optimization and promote social development and progress. By exploring the advantages and disadvantages of the PageRank algorithm, based on the concept of graph theory, different weights are assigned to the links according to the attribute characteristics of the links themselves. Then according to the data validation, experimental analysis, and the results of weight size, match and screen the corresponding web pages, and according to the matching degree and importance of the sequential order, and then collect data. Then the relevant knowledge of graph theory is used to illustrate the crop growth environment and growth factors, and the growth status of the target crops is observed in real-time to optimize the growth conditions at any time. Thus, the optimal growing environment is determined, and the yield of crops is improved to promote economic development.
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