STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Design research of an Intelligent Management System for Agricultural Machinery Based on Java
DOI: https://doi.org/10.62517/jlsa.202407408
Author(s)
Feng Qinxi
Affiliation(s)
School of Smart Agriculture, Chongqing University of Arts and Sciences, Yongchuan, Chongqing, China
Abstract
With the rapid development of agricultural mechanization and large-scale production, the traditional agricultural machinery management has exposed many drawbacks. Therefore, the agricultural machinery intelligent management system based on Java came into being. With Java language, Spring Boot, MySQL database and IntelliJ IDEA, the system developed. Users can easily query and manage the machinery with this system, and realize the efficient usage. At the same time, the system also supports users to statistical analysis of job data, help users to make scientific decisions, improve production efficiency. The administrator has more comprehensive management rights, including user management, mechanical information management, job record review and other functions, which can efficiently handle user requests to ensure the normal operation of the system and data security.
Keywords
Agricultural Machinery Intelligent Management System; Java; Spring Boot; MySQL
References
[1] Cheng Yawei, Wang Dongxia. Research on the Architecture Technology of Agricultural Machinery Operation Scheduling Management Web Platform Based on Java [J]. Agricultural Mechanization Research, 2019, 41(10):224-228. [2] Guo Xiaolei. Research on the Application of Internet of Things Technology in Precision Agriculture [J]. Seed Science and Technology, 2022, 40(10):136-138. [3] Xia Lu, Zhang Jun, Qu Rongjin. Design of Agricultural Information Service Platform Architecture Based on Cloud Storage [J]. Information and Computer (Theory Edition), 2024, 36(01):114-116+120. [4] Shi L D. Research and Design of Intelligent Agriculture Management System Based on the Internet of Things [J]. Applied Mechanics and Materials, 2014, 3634(687-691):1868-1871. [5] Wang Zhaoxiu, Zhou Xiaoyong. Application of Internet of Things Technology in Smart Agriculture [J]. Rural Economy and Technology, 2023, 34(22):56-58+75. [6] Li Yang, Liu Ting. Research on MySQL Database Security Reinforcement Technology [J]. Science and Technology Innovation, 2023(13):120-122. [7] Li Yanjie. Design of Data Security Application Based on MySQL Database [J]. Modern Information Technology, 2023, 7(12):151-154. [8] Zhou Liang. Research on the Application of Java Programming Language in Computer Software Development [J]. Science and Technology Information, 2024, 22(13):39-41. [9] Han Guohua, Zhang Zhengyi. Exploring SQL Attacks in Java and Their Defense Strategies [J]. Network Security Technology and Application, 2024, 1(07):63-65. [10] Fang Sheng. Research on the Frontend Framework Technology Based on “Vue.js” [J]. Computer Knowledge and Technology, 2021, 17(19):59-60+64. [11] Chin W H, Julie G. Hybrid and Non-Hybrid Block-Based Programming Languages in an Introductory College Computer-Science Course [J]. Journal of Educational Computing Research, 2021, 59(5):817-843. [12] A. S A, J. A A. Evaluating Python, C++, JavaScript and Java Programming Languages Based on Software Complexity Calculator (Halstead Metrics) [J]. IOP Conference Series: Materials Science and Engineering, 2021, 1076(1):124-125. [13] Tuo Zehua. Comparative Study Based on Black Box Testing and White Box Testing [J]. Electronic World, 2021(11):55-56. [14] Sun Jinxia, Zhu Yuewen, Li Hongmei, et al. Application of Agricultural Information Management System in Yanzhou Region [J]. Agricultural Engineering Technology, 2024, 44(20):79-80. [15] Mou Xuelei. Composition and Development of Smart Agriculture Management System [J]. Agricultural Machinery Use and Maintenance, 2024, (01):84-87. DOI:10.14031/j.cnki.njwx.2024.01.022. [16] Dai Yuting, Fan Ling. Design of Smart Agriculture Management System Based on MBSE [J]. Smart Agriculture Guide, 2023, 3(19):10-12+16. [17] Li Leichao. Design and Implementation of Smart Greenhouse Agriculture Management System [D]. Xi'an Shiyou University, 2023. [18] Wang Senchen. Design and Implementation of Agricultural Planting Management System Based on SSM [J]. Southern Agricultural Machinery, 2022, 53(20):84-86. [19] Chen Qianyi, He Jun. Application Analysis of Vue+Spring Boot+MyBatis Technology [J]. Computer Programming Skills and Maintenance, 2022(01):14-15+28. [20] Xiong Yongping. Analysis and Research on Application Development Technology Based on Spring Boot Framework [J]. Computer Knowledge and Technology, 2022, 15(36):76-77.
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