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Title RETRACTED: Application of artificial intelligence and machine learning based on big data analysis in sustainable agriculture (Retracted Article)
ID_Doc 17271
Authors Li, DK
Title RETRACTED: Application of artificial intelligence and machine learning based on big data analysis in sustainable agriculture (Retracted Article)
Year 2021
Published Acta Agriculturae Scandinavica Section B-Soil And Plant Science, 71, 9
DOI 10.1080/09064710.2021.1965650
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.
Author Keywords Big data analysis; artificial intelligence; machine learning; sustainable agriculture
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000703422500001
WoS Category Agronomy; Soil Science
Research Area Agriculture
PDF https://www.tandfonline.com/doi/pdf/10.1080/09064710.2021.1965650?needAccess=true
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