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农作物病虫害的知识表示和知识推理方法的有效性是实现农作物病虫害专家系统正确决策的基础。总结了农作物病虫害专家系统中常见的知识传统表示、知识的现代表示以及知识混合表示方法的优缺点及应用情况,对其发展趋势进行了分析和展望。知识混合表示方法因能有效克服单一表示法的局限性并可充分发挥各种方法的长处而被广泛应用。神经网络知识表示因其快速、准确性高、灵活性高的特点应用前景良好。
Abstract：The effectiveness of knowledge representation methods and knowledge reasoning methods are the basis for the correct decision-making of expert systems for crop pests and diseases. The advantages and disadvantages of traditional representation methods,modern representation methods and hybrid representation methods for common knowledge of expert systems for crop pests and diseases were summarized,and its applications were concluded. Furthermore,the trend of development was analyzed and prospected. The hybrid representation methods applies widely,since they can overcome the limitations of single representation and make full use of the advantages of various methods effectively.The neural network knowledge representation indicates good application prospects due to its fast,high accuracy and high flexibility.
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基本信息:
DOI：10.16389/j.cnki.cn42-1737/n.2019.04.015
中图分类号:TP182;S43
引用信息:
[1]张嫚嫚,张武,金秀,等.农作物病虫害专家系统中的知识表示方法[J].江汉大学学报(自然科学版),2019,47(04):378-384.DOI:10.16389/j.cnki.cn42-1737/n.2019.04.015.
基金信息:
2018年安徽省重点研究和开发计划项目（1804a07020108）; 2016年农业部农业物联网技术集成与应用重点实验室开放基金资助项目（2016KL05）; 2017年安徽省重大科技专项计划（17030701049）; 2019年安徽省重点研发计划面上攻关项目（201904a0620056）
2019-07-11
2019-07-11
2019-07-11