海带病害诊断防治专家系统研究  

Expert System of Kelp Disease Diagnosis and Prevention

作　　者：张启宇[1] 刘峰[1] 贺强 陈英义[3] 王承国[1] 唐君玮 ZHANG Qiyu;LIU Feng;HE Qiang;CHEN Yingyi;WANG Chengguo;TANG Junwei(Yantai Institute of China Agricultural University,Yantai Shandong 264670,China;Marine Economy Promotion Center,The Marine Ecological Civilization Comprehensive Experimental Area of Changdao,Yantai Shandong 265800,China;College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China)

机构地区：[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

出　　处：《农业工程》2024年第4期46-52,共7页AGRICULTURAL ENGINEERING

基　　金：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)。

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。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 studied,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 

分 类 号：S126[农业科学—农业基础科学]