Evaluation of Cultivated Land Productivity Based on the Perspective of Big Data
Authors
Mingliang Duan1, *, Min Zhu1
1School of Humanities, Shanghai Institute of Technology, Shanghai, 201418, China
*Corresponding author.
Email: gnailnaud@163.com
Corresponding Author
Mingliang Duan
Available Online 10 August 2023.
- DOI
- 10.2991/978-94-6463-198-2_55How to use a DOI?
- Keywords
- Jiaozuo City; big data; big data mining; evaluation of cultivated land productivity
- Abstract
In order to objectively evaluate the indicators affecting cultivated land productivity, under the background of big data, taking Jiaozuo City as an example, data mining is used to analyze the cultivated land productivity indicators, and finally the cultivated land in Jiaozuo City is divided into three types, and four indicators that have an impact on the cultivated land types in Jiaozuo City are screened: average annual rainfall, effective soil thickness, total nitrogen and latitude.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mingliang Duan AU - Min Zhu PY - 2023 DA - 2023/08/10 TI - Evaluation of Cultivated Land Productivity Based on the Perspective of Big Data BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 533 EP - 539 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_55 DO - 10.2991/978-94-6463-198-2_55 ID - Duan2023 ER -