Precision and intelligent agricultural decision support system based on big data analysis

• Published in: Acta agriculturae Scandinavica. Section B, Soil and plant science Vol. 72; no. 1; pp. 401 - 414
• Main Author: Qiao Jie
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 31.12.2022
• Subjects: big data analysis; decision support; machine learning; precision intelligent agriculture
• DOI: 10.1080/09064710.2021.2008477
• ISSN: 0906-4710

In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects.