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海带病害诊断防治专家系统研究

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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.
Expert System of Kelp Disease Diagnosis and Prevention
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.

kelpdiseasediagnosisexpert systemaquaculture

张启宇、刘峰、贺强、陈英义、王承国、唐君玮

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中国农业大学烟台研究院,山东 烟台 264670

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

中国农业大学信息与电气工程学院,北京 100083

海带 病害 诊断 专家系统 水产品养殖

中国农业大学烟台研究院引导性科研项目中国农业大学烟台研究院合作项目

Z202202H202201

2024

农业工程
北京卓众出版有限公司

农业工程

CSTPCD
影响因子:0.422
ISSN:2095-1795
年,卷(期):2024.14(4)
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