QIAN Ye,LI Chao,LI Tong,et al.Research on Intelligent Diagnostic System of Pests and Diseases of Chinese Rose Based on Android Mobile Phone System[J].Northern Horticulture,2019,43(10):151-157.[doi:10.11937/bfyy.20182746]
基于Android手机系统的月季病虫害智能系统研究
- Title:
- Research on Intelligent Diagnostic System of Pests and Diseases of Chinese Rose Based on Android Mobile Phone System
- Keywords:
- quality; maximum profit; intelligent diagnosis system; Android; clustering analysis algorithm
- 文献标志码:
- A
- 摘要:
- 为加强鲜切花质量等级管理，确保种植户获得最大的利润，从方便种植户使用的角度出发，以月季鲜切花为例，提出了构建基于Android手机系统的月季病虫害智能诊断系统。在系统工程思想的指导下，利用Android系统、SQLite数据库技术、聚类算法、软件工程、管理信息系统、MATLAB平台等相关知识及技术进行系统的设计和手机APP的开发，实现了月季鲜切花从种苗种植到采摘的全过程，根据月季叶片、茎杆等出现的症状识别病害、虫害的名称，并得出治疗的方案。针对智能诊断系统进行现场测试，采用聚类分析算法在MATLAB 平台上进行分析，提出对智能诊断系统改进的方案，实现智能化、便捷化的手机APP病虫害智能诊断系统，有效加强鲜切花种植管理的安全性及高效性，保障了种植户及鲜切花种植企业的利益。
- Abstract:
- In order to strengthen the quality management of fresh cut flowers and ensure the maximum profit of growers,for the convenience of growers,the fresh cut flowers were taken as an example,the intelligent system of the pests and diseases of Chinese rose was creatively proposed based on Android mobile phone system.Under the guidance of system engineering ideas,using the Android system,SQLite database technology,clustering algorithm,software engineering,management information system,MATLAB platform and other related knowledge and technology for system design and mobile APP development,the treatment plan was realized based on the names of diseases identified according to the symptoms of the leaves and stems of the rose during the whole process of planting seedlings and picking.The on-site test was carried out for the intelligent diagnosis system,and the cluster analysis algorithm was used to analyze on the MATLAB platform.The improved scheme of the intelligent diagnosis system was proposed to realize the intelligent and convenient mobile APP pest and disease intelligent diagnosis system,effectively strengthening the cultivation of fresh cut flowers.The safety and efficiency of management were achieved,thus protecting the interests of growers and fresh cut flower industries.
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备注/Memo
第一作者简介：钱晔（1984-），女，安徽巢湖人，博士，讲师，研究方向为农业信息化技术与软件工程形式化方法。E-mail:qy198403@163.com.责任作者：孙吉红（1983-），男，硕士，助理研究员，研究方向为人工智能与农业信息化技术。E-mail:81972331@qq.com.基金项目：云南省重大科技专项计划资助项目(2018ZI001)；云南农业大学社会科学中青年资助项目（2018SK01）。收稿日期：2018-10-08