计算机软件技术在植保软件开发中的应用研究
摘 要
本文探讨了计算机软件技术在植保软件开发中的应用研究，分析了其在提升农业植保效率、精准化管理和智能化决策等方面的关键作用。首先，概述了人工智能与机器学习、数据挖掘与分析、云计算与大数据处理以及移动互联网技术等理论基础，为植保软件的开发奠定了技术基础。随后，详细阐述了计算机软件技术在植保软件中的具体应用，包括病虫害识别与预警系统、农业环境监测与模拟、农业资源管理与优化以及智能决策支持系统等关键领域。文章进一步分析了当前植保软件开发过程中面临的技术、人员、市场需求以及管理与资金等方面的挑战，如编程语言与工具选择不当、系统兼容性与稳定性问题、专业人才缺乏、市场需求不明确及资金投入不足等。针对这些挑战，本文提出了相应的应用对策，包括选择合适的编程语言与工具、强化系统测试与维护、培养复合型人才、建立跨学科合作机制、深入调研用户需求、加大市场推广力度、规范项目管理流程以及拓展多元化融资渠道等。本文的研究成果不仅丰富了植保软件开发的理论体系，也为实际应用中的技术选型、团队建设、市场需求分析及项目管理等方面提供了有价值的参考，对推动农业植保信息化、智能化发展具有重要意义。
关键词：计算机软件技术；植保软件开发；智能决策支持；病虫害防治
Abstract
This paper discusses the application of computer software technology in the development of plant protection software, and analyzes its key role in improving the efficiency of agricultural plant protection, accurate management and intelligent decision-making. First of all, the theoretical basis of artificial intelligence and machine learning, data mining and analysis, cloud computing and big data processing, and mobile Internet technology is summarized, which lays a technical foundation for the development of plant protection software. Subsequently, the specific application of computer software technology in plant protection software is elaborated, including key fields such as pest identification and early warning system, agricultural environment monitoring and simulation, agricultural resource management and optimization, and intelligent decision support system. This paper further analyzes the technical, personnel, market demand, management and capital challenges faced in the current development process of plant protection software, such as improper selection of programming language and tools, system compatibility and stability, lack of professionals, unclear market demand and insufficient capital investment. For these challenges, this paper puts forward the corresponding application countermeasures, including choosing the appropriate programming language and tools, strengthen the system testing and maintenance, cultivating interdisciplinary talents, establish interdisciplinary cooperation mechanism, in-depth research user demand, intensify marketing, standardize project management process and expand diversified financing channels, etc. The research results of this paper not only enrich the theoretical system of plant protection software development, but also provide valuable reference for the technology selection, team building, market demand analysis and project management in practical application, which is of great significance for promoting the information and intelligent development of agricultural plant protection.
Key words: Computer software technology; plant protection software development; intelligent decision support; pest control
目 录
中文摘要 I
英文摘要 II
目 录 III
引 言 1
第1章、理论基础 2
1.1、人工智能与机器学习 2
1.2、数据挖掘与分析 2
1.3、云计算与大数据处理 2
1.4、移动互联网技术 3
第2章、计算机软件技术在植保软件中的具体应用 4
2.1、病虫害识别与预警系统 4
2.2、农业环境监测与模拟 4
2.3、农业资源管理与优化 4
2.4、智能决策支持系统 4
第3章、计算机软件技术在植保软件开发中的应用挑战 6
3.1、技术问题 6
3.2、人员问题 6
3.3、市场需求问题 6
3.4、管理与资金问题 7
第4章、计算机软件技术在植保软件开发中的应用对策 8
4.1、技术对策 8
4.2、人员对策 8
4.3、市场对策 9
4.4、管理与资金对策 9
结 论 11
参考文献 12
