基于主题图的农业模型描述与表示方法

为了提升不同学科模型资源的共享与管理能力,提出了一种新的农业模型描述与表示方法。它以模型组件描述信息为元数据来生成不同层次主题图。首先分析农业模型特征,建立农业模型与模型组件之间的映射关系;然后,抽取农业模型组件刻面与关联描述信息,构建了农业模型组件描述模型（DM-AMC）,进一步将DM-AMC表示为主题类型、关联类型、事件类型以及关联角色;最后,通过实例化并采用匹配融合算法生成了面向农业模型组件的主题图（TM-AMC）。研究以作物生育期模型为例,生成了统一描述与可动态扩展的原子主题图XTM文档。通过对农业模型信息的统一描述,并以DM-AMC为基础生成多层次、便于统一访问的TM-AMC,可提升农业模型信息的全局共享与管理能力。     

基于B/S结构的数字地质图元数据信息系统设计与实现

以国土资源环境与区域经济信息系统信息共享元数据内容标准草案(“NREDIS”)为依据,结合ASP.NET技术,利用C#语言,设计了一个基于B/S(浏览器/服务器)结构的数字地质图元数据信息系统。实现了元数据标准的浏览和元数据的输入、查询及维护4大功能。研究成果为国家空间信息基础设施和数字地球的建设提供了一定的理论基础和技术原型,推动了地理空间信息的网络发布和共享。     

离心泵整体叶轮流道数控加工误差的仿真

对数控加工所获得的叶轮流道的加工误差进行仿真。首先对刀位轨迹线进行归一化处理,以此计算出脊棱高度曲线,再采用线性插值的方法得到曲面上采样点的加工误差。由于自由曲面加工中的刀位点比较密集,本文利用彩色云图将加工误差可视化,完善了对数控加工结果的计算机几何仿真。该算法已在自行研制的叶轮CAM系统中得到验证,并且与实际加工结果一致。     

基于专利地图的农业机器人技术发展态势研究

农业机器人是农机产业的重要潜在发展方向,可提升农机企业核心竞争力、驱动科技创新及促进农业生产效率提升。为此,针对农业机器人技术绘制专利地图,从发展趋势、重点技术领域、地域分布、竞争机构及高引专利等方面开展态势研究,以为相关政府部门、企业和高校院所进一步发展农业机器人产业和技术提供情报支撑。研究结果表明:农业机器人技术真正的发展阶段出现在1993年以后,总体呈现出快速增长,而且这一趋势延续至今。机械手的末端执行器、自动导航及目标探测与定位是该领域的重点研发技术,而收获机器人、田间作业机器人、植保机器人是该领域的重点研发种类。我国近年来对于农业机器人技术的研发热情高涨,申请有大量相关专利,但专利质量相对美国和日本较低,核心专利缺失,技术水平还有待进一步提高。此外,还从政府、企业和产业园区3个层面提出了我国进一步发展农业机器人技术的对策建议。     

基于IMM-UKF的冲量式测产系统研究

为适应精准农业的发展趋势,提高测产计量系统的精度,开发一套基于IMM-UKF算法的冲量式测产系统.该系统由冲量传感器模块、北斗定位模块、DTU传输模块和上位机等组成.系统通过传感器模块进行信号的采集和处理,采用CAN通信方式将处理后的数据发送至上位机.上位机使用IMM UKF滤波算法对传感器上传的数据进行滤波,最终根据...     

Allozymes and growth habit of Aegilops tauschii: genetic control and linkage patterns

Aegilops tauschii line of spring type growth habit with theearliest heading among all the VIR world germplasm collection of thisspecies was crossed with three Ae. tauschii lines of winter type growthhabit with low, intermediate and the highest vernalization requirement. 12enzyme loci were involved in genetic analysis. The growth habit was foundto be encoded by single codominant major gene, Vrn-D2. Thefollowing linkages were found: Est5 – Nadhd2 in chromosome 3, Vrn-D2 – Aco2 – Cat2 and Pgm – Nadhd1 in chromosome 4, Est2 – Got2 in chromosome 6.     

RFLP/AFLP mapping of a brown planthopper (Nilaparvata lugens Stål) resistance gene Bph1 in rice

We have constructed a linkage map of the rice brown planthopper (BPH)resistance gene, Bph1. RFLP and AFLP markers were selected by thebulked segregant analysis and used in the mapping study of 262 F₂sthat were derived from a cross of `Tsukushibare', a susceptible japonica cultivar, and `Norin-PL3', an authentic japonicaBph1-introgression line. Twenty markers were mapped within a 28.9-cMregion containing the Bph1 locus on the long arm of rice chromosome12. Combining the result of segregation analysis of BPH resistance by themass seedling test and that of the markers, the Bph1 locus wasmapped within a 5.8-cM region between two flanking markers. The closestAFLP markers, em5814N and em2802N, was at 2.7 cM proximal to theBph1 locus. Together with the previously constructed high-resolutionmap of bph2 locating the locus at ca. 10 cM proximal to the Bph1 locus, this improved version of the linkage map would facilitatepyramiding these two important BPH resistance genes.     

Cultivar identification and genetic map of mango (Mangifera indica)

Amplified Fragment Length Polymorphism (AFLP) information was used for identification of mango (Mangifera indica L.) cultivars, for studying the genetic relationship among 16 mango cultivars and seven mango rootstocks and for the construction of a genetic linkage map. Six AFLP primer combinations produced 204 clear bands and on the average 34 bands for each combination. The average Band-Sharing between cultivars and rootstocks was 83% and 80%, respectively. The average Band-Sharing for mango is 81%. The probability of obtaining a similar pattern for two different mango cultivars and rootstocks is 6 × 10⁻³and 2 × 10⁻³, respectively. A preliminary genetic linkage map of the mango genome was constructed, based on the progeny of a cross between ‘Keitt’ and ‘Tommy-Atkins’. This linkage map consists of 13 linkage groups and covers 161.5 cm defined by 34 AFLP markers. This revised version was published online in August 2006 with corrections to the Cover Date.     

实例教学法在建筑电气施工图识图教学中的运用--以人为本，学以致用

文章针对识图教学过程中运用实例教学的重要性进行阐述,并针对实例教学法在建筑电气施工识图教学中的应用加以探讨,以提供理论参考。     

基于各向异性核扩散法的杨树叶特征降维

对缺水与正常杨树苗叶片进行特征分析与降维处理。首先对样本进行光照补偿并去除奇异性;然后对样本数据空间进行归一化处理,提出采用基于各向异性核扩散法对缺水与正常样本数据空间进行降维,核参数采用最大类间距离法自适应调整;最后根据最大信噪比原则选择降维子空间维数,获得识别特征。分别对各向异性核扩散法、LE、LTSA以及PCA进行分析比较,对于叶脉较粗的杨树叶片,采用各向异性核扩散法效果较好,能保持空间的几何关系。采用SVM分类法对不同算法提取的特征进行分类,结果表明本文提出的算法提取的杨树叶特征分类效果较好。