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Design and Implementation of Cloud Platform for Vegetable Planting Field Operation Management

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DOI: 10.23977/acss.2022.060507 | Downloads: 41 | Views: 734

Author(s)

Sibo Huang 1, Jia Chen 2

Affiliation(s)

1 Network and Information Centre, Huizhou University, Huizhou, China
2 School of Mathematics and Statistics, Huizhou University, Huizhou, China

Corresponding Author

Sibo Huang

ABSTRACT

Aiming at the problems of simple, extensive, inefficient and high consumption of traditional agricultural production management in China, this paper takes the field management of vegetable industry as the starting point, and adopts intelligent, flat and interactive field production and management micro services by building a mobile "Internet+small programs". The system is based on microservice technology, which solves the problems of PaaS platform in dealing with high logic complexity of business system and low system performance, realizes application splitting and decoupling, and improves the ability of agile development and rapid deployment; For the needs of agricultural production materials and tasks, production status management, etc., production materials, tasks and labor assignments, work time limits, task prompts, etc. can be realized. Through hierarchical authorization, enterprise administrators, warehouse keepers, and workers can view relevant basic information and data online at any time, accurately understand the distribution of field management resources, and make field management traceable and refined.

KEYWORDS

Smart agriculture, Vegetable cloud platform, Internet +, Production management

CITE THIS PAPER

Sibo Huang, Jia Chen, Design and Implementation of Cloud Platform for Vegetable Planting Field Operation Management. Advances in Computer, Signals and Systems (2022) Vol. 6: 45-51. DOI: http://dx.doi.org/10.23977/acss.2022.060507.

REFERENCES

[1] Zhao Chunjiang. Current situations and prospects of smart agriculture [J]. Journal of South China Agricultural University, 2021, 42(6): 1-7. 
[2] Han Jiawei, Zhu Wenying, Zhang Bo; Zhao Chunjiang; Yang Xinting. Equipment and Information Collaboration to Promote Development of Modern Smart Agriculture [J]. Strategic Study of CAE. 2022(01): 55-63.
[3] Li Zhongke, Zhao Huijuan, Su Xiaoping, Chen Zheng. The Latest Applications and Challenges of Artificial Intelligence in Agriculture [J]. Agricultural Technology & Equipment, 2018, (06): 90-92.
[4] Gao Wei. Countermeasures for the Development of Intelligent Agriculture in China [J]. South China Agriculture, 2019, 13(15): 121-122.
[5] Li Tingting, MA Juanjuan, Zhang Jianhua. Research on the Construction of Agricultural Big Data Information Collection Platform [J]. Chinese Agricultural Science Bulletin. 2022(03): 158-164.
[6] Wu Huilin, Liu Haifeng, Zhong Linyi, Zhang Xinglong. Research and Design of Guangdong Agricultural and Rural Big Data Application Service Platform [J]. Modern Agricultural Equipment. 2022(02): 18-25.
[7] Liu Qinchao, Han Hongfang, YANG Baozhu, Wang Xiuhu, Bai Jihong, PENG Jun. Design and Implementation of Modern Agricultural Internet of Things Cloud Platform in Yan'an [J]. Guizhou Agricultural Sciences. 2018(05): 151-154.
[8] Li Ke. Application of Internet of Things Technology in Modern Agricultural Management [J]. Agricultural Engineering. 2018 (11) Page: 28-29.
[9] Chen Lifei. Research on Intelligent Agricultural Production Management System Based on Internet of Things and Cloud Computing [J]. Agricultural Technology & Equipment. 2018 (12): 62-63.

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