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1)  wheat disease diagnosis
小麦病害诊断
1.
In order to obtain pellucid knowledge from neural network, this paper takes wheat disease diagnosis as case to study BP neural network ruler extract, and proposes a new method to extract BP neural network ruler base on structure analysis.
为了从神经网络中获取易于理解的知识,以小麦病害诊断为例,研究了BP神经网络的规则抽取,提出一种基于结构分析的BP神经网络规则抽取方法。
2)  disease diagnosis
病害诊断
1.
Essentially,the crop disease diagnosis is fault disease diagnosis.
农作物的病害诊断的实质是一个故障诊断问题。
2.
By means of the in-situ tests and the related studies,this paper discusses the disease diagnosis and evaluation method of railway bridge pier supported by pile foundation based on the dynamics tests,and presents the evaluation index concerned.
通过现场测试和有关应用研究,研究了铁路群桩基础桥桥墩病害诊断的动力测试和评价方法,提出了群桩基础桥墩状态评价的有关指标。
3.
Turfgrass disease diagnosis and protection has become one key technology of the turfgrass conserve and manage technologys, with the developing of the turfgrass industry.
由于我国草坪病害研究起步较晚,所以许多相关信息、资料的普及度不够,草坪病害诊断防治的专业技术人员也匮乏,故采用专家系统进行草坪病害的诊治可以在很大程度上弥补这些不足。
3)  Diagnose damage
诊断病害
4)  wheat disease
小麦病害
1.
he effects of triadimefon as a seed dressing for controlling wheat disease on yield components were different in the field experiments.
田间试验表明,用三唑酮拌种防治小麦病害对各产量因子的影响不同。
5)  wheat diseases
小麦病害
1.
Field experiments of controlling wheat diseases by increasing K fertilizer and controlling N fertilizer;
控氮增钾控制小麦病害发生试验
2.
The influence of wheat straw covering and water saving on wheat diseases during the whole growth period;
秸秆覆盖全程节水对小麦病害发生的影响
3.
The Wheat Diseases Expert System Based on the Web and the Implemention using the Java Technology;
Web下小麦病害诊断与防治系统及其Java技术实现
6)  Diagnosis of plant diseases and insect pests
病虫害诊断
补充资料:病害
1.疾苦。 2.由细菌﹑真菌﹑病毒﹑藻类﹑不适宜的气候或土壤等因素引起的植物体发育不良﹑枯萎或死亡。
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