Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Irrigation Data of Agricultural Greenhouse by Big Data Analysis Technology

Authors
Youhua Xu1, Chuanyu Xiong1, *
1Guangdong Songshan Polytechnic, Guangdong Shaoguan, 512126, China
*Corresponding author. Email: fengxinzi3333@163.com
Corresponding Author
Chuanyu Xiong
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_40How to use a DOI?
Keywords
Big data technology; Agricultural greenhouse irrigation; Water and fertilizer integration technology; Fertilizer distribution platform
Abstract

In order to improve the efficiency of agricultural greenhouse irrigation, the research on water-soluble fertilizer proportioning technology for agricultural greenhouse irrigation based on big data cloud platform was put forward. Firstly, the characteristics of irrigation and non-integrated technology were introduced, and then the management mode of water-soluble fertilizer proportioning machine for agricultural greenhouse irrigation technology based on big data cloud platform was analyzed. It adopts the management mode of user+fertilizer dispensing self-service machine+plot soil testing formula database based on GIS+e-commerce platform+fertilizer manufacturer, and adopts the management mode of automatic control, physical measurement, sensor, computer management and other technologies to realize the sales and purchase processes such as self-service ordering, payment and logistics management of the Internet of Things. Through the automatic fertilizer distribution equipment and software system, with the fertilizer distribution cloud platform management system as the core, the farmer information, regional location information, farmlandinformation and crop information are integrated to realize automatic, intelligent and remote management of fertilizer sales and irrigation management.

Copyright
© 2022 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_40
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_40How to use a DOI?
Copyright
© 2022 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

risenwbib
TY  - CONF
AU  - Youhua Xu
AU  - Chuanyu Xiong
PY  - 2022
DA  - 2022/12/30
TI  - Research on Irrigation Data of Agricultural Greenhouse by Big Data Analysis Technology
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 356
EP  - 362
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_40
DO  - 10.2991/978-94-6463-108-1_40
ID  - Xu2022
ER  -