海带病害诊断防治专家系统研究
Expert System of Kelp Disease Diagnosis and Prevention
张启宇 1刘峰 1贺强 2陈英义 3王承国 1唐君玮3
作者信息
- 1. 中国农业大学烟台研究院,山东 烟台 264670
- 2. 长岛海洋生态文明综合试验区海洋经济促进中心,山东 烟台 265800
- 3. 中国农业大学信息与电气工程学院,北京 100083
- 折叠
摘要
海带病害诊断和防治是保障海带健康养殖的关键.为了提高海带养殖用户的病害诊断和防治水平,对海带病害诊断专家系统进行了研究.研究了知识获取,以学术期刊发表的文献为主,同时辅以专家调研,收集整理 31种海带病害;选择产生式规则描述知识,并构造了规则库;采用正向推理进行病害诊断.该系统采用JSP+Sevlet+JavaBean实现,可以满足海带养殖用户对病害诊断防治的需求,并指出了未来研究方向和内容.
Abstract
Diagnosis and prevention of kelp disease is the key to ensuring healthy culture of kelp.In order to improve disease diagnosis and prevention level of kelp aquaculture users,expert system of kelp disease diagnosis were studied.Acquisition of knowledge was stud-ied,mainly based on literature published in academic journals,supplemented by investigation of experts,31 types of kelp diseases were collected and sorted out.Production rules were selected to describe knowledge,and rule base was constructed.Forward reasoning was used for disease diagnosis.The system was implemented by JSP+Sevlet+JavaBean,which could meet needs of kelp aquaculture users for disease diagnosis and prevention,and next research direction and content were pointed out.
关键词
海带/病害/诊断/专家系统/水产品养殖Key words
kelp/disease/diagnosis/expert system/aquaculture引用本文复制引用
基金项目
中国农业大学烟台研究院引导性科研项目(Z202202)
中国农业大学烟台研究院合作项目(H202201)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据