Application of artificial intelligence and machine learning based on big data analysis in sustainable agriculture. (31st August 2021)

• Record Type: Journal Article
• Authors: Li, Dongkun
• Is Part Of: Acta agriculturæ Scandinavica. Volume 71:Number 9(2021)
• Page Start: 956
• Page End: 969
• Publication Date: 2021-08-31
• Subjects: Big data analysis -- artificial intelligence -- machine learning -- sustainable agriculture; Horticulture -- Periodicals; Soil science -- Periodicals; Crops and soils -- Periodicals; Plant-soil relationships -- Periodicals; 630
• DOI: 10.1080/09064710.2021.1965650
• Languages: English
• ISSNs: 0906-4710

Abstract

ABSTRACT: In order to explore the intelligent path of agricultural sustainable development, this paper combines big data technology to process agricultural sustainable development data with the support of machine learning technology. Moreover, in order to solve the evaluation problem of regional agricultural sustainable development as well as understand the evolution path and evolution law of regional agricultural sustainable growth, this paper starts from the framework model and combines big data in addition to artificial intelligence expertise to construct a sustainable agricultural analysis model. In addition, this paper combines the needs of sustainable agricultural development to set the system function and analyse the realisation process of the system function. At last, this paper proposes a digital simulation experiment to authenticate the accomplishment of the model built in this paper. Through experimental research, it can be known that the intelligent agricultural sustainable development system constructed in this paper has certain effects, and this system can be used in subsequent research to analyse agricultural sustainable development. Based on algorithm verification as well as evaluation of the model on agricultural sustainability analysis, the statistical results are varying from 80 to 90.