The application of big data in the legal improvement of agricultural product quality and safety governance
The quality and safety of agricultural products is not only related to the health of consumers, but also to the sustainable and stable development of the economy, and even to the harmony and stability of the society. The application of the theory model of multiple co-governance of agricultural produ...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-12-01
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Series: | Acta Agriculturae Scandinavica. Section B, Soil and Plant Science |
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Online Access: | http://dx.doi.org/10.1080/09064710.2021.2007994 |
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author | Zhengwei Wan |
author_facet | Zhengwei Wan |
author_sort | Zhengwei Wan |
collection | DOAJ |
description | The quality and safety of agricultural products is not only related to the health of consumers, but also to the sustainable and stable development of the economy, and even to the harmony and stability of the society. The application of the theory model of multiple co-governance of agricultural product quality and safety has certain theoretical support. This paper applies big data technology to agricultural product quality and safety governance, and uses big data methods to study the key control points in the process of agricultural product traceability. Moreover, based on the selected key control points, this paper studies the key traceability indicators corresponding to the key control points of each link. In addition, this paper combines multi-disciplinary knowledge to carry out a systematic study on the legal issues of multivariate co-governance of agricultural product quality and safety in my country from the perspective of law. From the experimental research and the final decision-making suggestions, we can see that the method proposed in this paper is feasible. |
first_indexed | 2024-03-12T00:27:48Z |
format | Article |
id | doaj.art-032f6970ffe141288f23ffbe7cc49e67 |
institution | Directory Open Access Journal |
issn | 0906-4710 1651-1913 |
language | English |
last_indexed | 2024-03-12T00:27:48Z |
publishDate | 2022-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Acta Agriculturae Scandinavica. Section B, Soil and Plant Science |
spelling | doaj.art-032f6970ffe141288f23ffbe7cc49e672023-09-15T10:26:27ZengTaylor & Francis GroupActa Agriculturae Scandinavica. Section B, Soil and Plant Science0906-47101651-19132022-12-0172120021310.1080/09064710.2021.20079942007994The application of big data in the legal improvement of agricultural product quality and safety governanceZhengwei Wan0Zhejiang Police CollegeThe quality and safety of agricultural products is not only related to the health of consumers, but also to the sustainable and stable development of the economy, and even to the harmony and stability of the society. The application of the theory model of multiple co-governance of agricultural product quality and safety has certain theoretical support. This paper applies big data technology to agricultural product quality and safety governance, and uses big data methods to study the key control points in the process of agricultural product traceability. Moreover, based on the selected key control points, this paper studies the key traceability indicators corresponding to the key control points of each link. In addition, this paper combines multi-disciplinary knowledge to carry out a systematic study on the legal issues of multivariate co-governance of agricultural product quality and safety in my country from the perspective of law. From the experimental research and the final decision-making suggestions, we can see that the method proposed in this paper is feasible.http://dx.doi.org/10.1080/09064710.2021.2007994big dataagricultural product quality and safetylegal improvementdata mining |
spellingShingle | Zhengwei Wan The application of big data in the legal improvement of agricultural product quality and safety governance Acta Agriculturae Scandinavica. Section B, Soil and Plant Science big data agricultural product quality and safety legal improvement data mining |
title | The application of big data in the legal improvement of agricultural product quality and safety governance |
title_full | The application of big data in the legal improvement of agricultural product quality and safety governance |
title_fullStr | The application of big data in the legal improvement of agricultural product quality and safety governance |
title_full_unstemmed | The application of big data in the legal improvement of agricultural product quality and safety governance |
title_short | The application of big data in the legal improvement of agricultural product quality and safety governance |
title_sort | application of big data in the legal improvement of agricultural product quality and safety governance |
topic | big data agricultural product quality and safety legal improvement data mining |
url | http://dx.doi.org/10.1080/09064710.2021.2007994 |
work_keys_str_mv | AT zhengweiwan theapplicationofbigdatainthelegalimprovementofagriculturalproductqualityandsafetygovernance AT zhengweiwan applicationofbigdatainthelegalimprovementofagriculturalproductqualityandsafetygovernance |