Application of Data Visualization and Big Data Analysis in Intelligent Agriculture

Application of Data Visualization and Big Data Analysis in Intelligent Agriculture

Big data

Principal component analysis

K-means clustering

Crops

Data mining

Visualization

Data visualization

Agricultural technology

Intelligent agriculture can renovate agricultural production and management, making agricultural production truly scientific and efficient. The existing data mining technology for agricultural information is powerful and professional. But the technology is not well adapted for intelligent agriculture. Therefore, this paper introduces data visualization and big data analysis into the application scenarios of intelligent agriculture. Firstly, an intelligent agriculture data visualization system was established, and the RadViz data visualization method was detailed for intelligent agriculture. Moreover, the intelligent agriculture data were processed using dimensionality reduction through principal component analysis (PCA) and further optimized through k-means clustering (KMC). Finally, the crop yield was predicted using the multiple regression algorithm and the residual principal component regression algorithm. The crop yield prediction model was proved effective through experiments 2022, Journal of Computing and Information Technology.All Rights Reserved.

251-263

4

29

Liu, Wei

Journal of Computing and Information Technology

2022

journalArticle

13301136

10.20532/CIT.2021.1005390