| 海带病害防治诊断专家系统的研究 |
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| 引用本文： | 张启宇,刘峰,贺强,陈英义,王承国,唐君玮.海带病害防治诊断专家系统的研究[J].农业工程,2024,14(4). |
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| 作者姓名： | 张启宇 刘峰 贺强 陈英义 王承国 唐君玮 |
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| 作者单位： | 中国农业大学烟台研究院,中国农业大学烟台研究院,长岛海洋生态文明综合试验区海洋经济促进中心,中国农业大学信息与电气工程学院,中国农业大学烟台研究院,长岛海洋生态文明综合试验区海洋经济促进中心 |
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| 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) |
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| 摘 要： | 海带病害的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,本文对海带病害诊断专家系统进行了研究。首先,研究了知识的获取,以学术期刊发表的文献为主,同时辅以专家的调研,收集整理28种海带病害；接着,选择产生式规则描述知识,并构造了规则库；最后,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防治诊断的需求,并指出了下一步的研究方向和内容。
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| 关 键 词： | 海带 病害 诊断 专家系统 |
| 收稿时间： | 2023/8/19 0:00:00 |
| 修稿时间： | 2023/12/26 0:00:00 |
Research on the expert system of kelp disease prevention and diagnosis |
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| Zhang Qiyu,Liu Feng,He Qiang,Chen Yingyi,Wang Chengguo and Tang Junwei.Research on the expert system of kelp disease prevention and diagnosis[J].Agricultural Engineering,2024,14(4). |
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| Authors: | Zhang Qiyu Liu Feng He Qiang Chen Yingyi Wang Chengguo and Tang Junwei |
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| Institution: | Yantai Institute of China Agricultural University,Yantai Institute of China Agricultural University,Changdao Marine Econ Promot Ctr,College of Information and Electrical Engineering,China Agricultural University,Yantai Institute of China Agricultural University,Changdao Marine Econ Promot Ctr |
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| Abstract: | The diagnosis and prevention of kelp disease is the key to ensuring the healthy culture of kelp. In order to improve the disease diagnosis and control level of kelp aquaculture users, this paper studies the expert system of kelp disease diagnosis. Firstly, this paper studied the acquisition of knowledge, mainly based on the literature published in academic journals, supplemented by the investigation of experts, collected and sorted out 28 types of kelp diseases. Then, production rules are selected to describe knowledge, and the rule base is constructed. Finally, forward reasoning is used for disease diagnosis. The system is implemented by JSP+Sevlet+JavaBean, which can meet the needs of kelp aquaculture users for disease prevention and diagnosis, and the next research direction and content are pointed out. |
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| Keywords: | Kelp Disease Diagnosis Expert system |
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