基于视觉测量的挖掘机工作装置姿态测量系统

提出了一种基于视觉测量的挖掘机工作装置姿态测量方法。使用工业相机获取工作装置侧视图像,采用鞍点检测方法快速捕捉工作臂上的人工靶标;将靶标间的固定几何尺寸关系作为约束条件筛选出靶标中的鞍点并计算相应工作臂的姿态角;通过预判靶标的运动范围以缩小图像检测区域,提高算法处理速度。试验表明,与挖掘机上原有的拉线传感器测量系统相比较,动臂和斗杆姿态角动态测量偏差分别小于1°和2°,处理每帧工作装置运动图像平均用时在100 ms以内,验证了该方法对挖掘机工作装置姿态测量的可行性。     

人工神经网络NIR定量分析方法及其软件实现

在Visual C＋＋环境中采用面向对象技术，开发了PCA-MBP-NIR定量分析模型软件。通过40份小麦样品的原始光谱、加噪光谱（信噪比为14dB）与含水率所建立的PLS-NIR与PCA-MBP-NIR模型，对10份未知小麦样品的原始光谱、加噪光谱分别进行含水率的PLS-NIR与PCA-MBP-NIR预测分析。分析表明，对于含噪声的光谱，与PLS建模相比，使用PCA-MBP-NIR对未知样品预测结果具有更高的相关系数，更低的预测误差标准差。     

基于计算机视觉系统的溶液浓度快速检测方法

基于计算机视觉系统的RGB色度学理论,提出一种测定有色溶液浓度的数字色度法,并开发了与之配套的软件检测系统。该方法与分光光度计相比,大大提高了检测效率,理论上每分钟可完成上百个样品浓度的同时测定。通过软件系统分析样品色度信息,实现自动显示被测溶液浓度的良好效果,为一次性成批检测溶液浓度提供了一种简捷快速的新思路。     

6个枣品种枣疯病抗性与枣疯植原体迁移特性差异研究

【目的】探究6个枣树品种枣疯病抗性差异以及枣树体内植原体迁移特性差异,为抗枣疯病枣树品种的选择利用以及枣疯病的防治提供基础数据。【方法】通过采集携带植原体的鸡心脆枣接穗,嫁接到健康枣树砧木上,采用田间调查与普通PCR技术相结合方法,比较不同品种抗枣疯病情况与植原体在不同枣树品种中迁移情况。【结果】不同枣树品种发病时间不同,发病率差异显著,蜂蜜罐枣、尜尜枣和猴头枣为抗病类型,冬枣、红螺脆枣和鸡心脆枣为感病类型。植原体在不同枣树品种中迁移速度不同,植原体在鸡心脆枣和冬枣内迁移速度最快,其后依次为蜂蜜罐枣、红螺脆枣、尜尜枣,在猴头枣内迁移速度最慢。【结论】6个枣树品种中蜂蜜罐枣、尜尜枣和猴头枣表现一定的抗病能力,初步确认了植原体在不同枣树品种体内迁移特征的差异,可为抗枣疯病品种的选择利用和枣疯病防治提供科学依据。     

Characterization of mobile LiDAR data collected with multiple echoes per pulse from crowns during foliation

Abstract

As a state-of-the-art technology for fine-scale forest investigation, mobile terrestrial light detection and ranging (LiDAR), also referred to as mobile laser scanning (MLS), recently has been increasingly exploited to improve its performance on this task. One potential solution is to apply special MLS systems with the capability of collecting multiple echoes per pulse (multi-echoes, for short) from canopies. The methodologies of this rationale turned out to perform better but still insufficiently for canopy properties retrieval, owing to their common defective premise. That is, the knowledge of the characteristics of MLS scan data comprising multi-echoes, so far, is in shortage, especially when regarding the dynamic process of tree foliation. As a pioneering work for this challenge, this study attempted to comprehensively analyze the characteristics of MLS multi-echoes collected from tree crowns during foliation. Specifically, new stable multi-echoes-related features were deduced under the schematic frame of relative quantification, in both spatial and temporal sense. “Relative” here briefly means the division operation deployed on the attributes of multi-echoes, individually in terms of the number of echoes, echo width and crown volume integrity, between their different return orders. Then, the “relative” schematic was primarily validated for more stably representing crown properties during foliation, based on the real data that was collected by the Sensei MLS system with a maximum of three echoes per pulse. Further, a case of tree species classification was examined using a linear discriminant classifier, and it was testified that the resultant temporal statistical rules of multi-echoes as the reverse clues can enhance the performance of MLS in applications.     

向川安瘿蜂和寄生性长尾小蜂共生菌Wolbachia的检测

Wolbachia是一类胞质遗传共生菌，能调控被其感染宿主的生殖方式。以向川安瘿蜂虫瘿中获得的向川安瘿蜂和其寄生的长尾小蜂为材料，使用Wolbachia的wsp基因特异引物，通过PCR扩增向川安瘿蜂和长尾小蜂Wolbachia的wsp特异片段，以邻位相连法构建Wolbachia的wsp基因的分子系统树。结果表明：向川安瘿蜂和长尾小蜂均感染了Wolbachia；因二者感染Wolbacia的株系Wa和Wb的wsp序列差异大，不能认定在寄生的长尾小蜂和宿主向川安瘿蜂间存在Wolbachia的水平传播。     

原木截面形状扫描参数的计算

利用激光扫描技术得到原木截面的基本参数,通过计算得到比较精确的原木截面形状,在整根原木上进行周期扫描从而得到整根原木的形状参数。     

PCR detection of ratoon stunting disease pathogen and natural resistance analysis in sugarcane core germplasms

Exploring and utilizing resistant germplasm resources plays a pivotal role in breeding for disease resistance, while screening resistant germplasm is important for selecting and breeding varieties resistant to disease. In the present study, we used PCR to detect the ratoon stunting disease (RSD) bacterium Leifsonia xyli subsp. xyli (Lxx) in 137 sugarcane core germplasms from the National Nursery of Sugarcane Germplasm Resources (NNSGR, Kaiyuan, China) in 2009, 2010 and 2011. A total of 21 germplasms that tested negative for Lxx in 2009 and 2010 were selected for further Lxx detection after being subjected to artificial inoculation in 2011 and 2012. The 21 core germplasms that were negative for Lxx after natural infection and artificial inoculation can provide elite resistance source materials and reference frames for the effective breeding of RSD-resistant sugarcane varieties. Under natural conditions, 116 (84.67%) and 21 (15.33%) out of 137 germplasms were positive and negative for Lxx, respectively, as determined by PCR detection, which suggests that a relatively high ratio of sugarcane core germplasms was sensitive to RSD, while few were resistant to RSD. The sequencing and analysis of 30 randomly selected PCR products showed that all 30 sequences were identical or highly homologous to the corresponding Lxx genome region published in GenBank (99.54–100% similarity). Lxx can be detected effectively and precisely by PCR. We therefore recommend PCR as a rapid, low cost and simple procedure to score sugarcane core germplasms for RSD resistance.     

基于角点检测的叶缘锯齿快速识别

叶缘锯齿特征是植物识别的重要特征。本文提出了一种运用图像角点检测技术对叶缘锯齿进行识别和定位的方法。该方法首先利用基于Harris算子的方法进行角点检测,然后通过人工调整阈值提高检测精度。研究结果表明,该方法便捷、高效,在叶缘的锯齿检测中取得了较好的效果。     

Detection efficiency and habitat use to inform inventory and monitoring efforts: juvenile coho salmon in the Knik River basin,Alaska

Imperfect detection associated with sampling gear presents challenges for wildlife inventory and monitoring efforts. We examined occupancy dynamics and habitat use of juvenile coho salmon, Oncorhynchus kisutch, in shallow lake environments over a summer and early fall season in the Knik River area of south central Alaska using models which control for and estimate sampling gear detection efficiency. In addition, we present statements for the probability that observed absences at a survey site or from a survey area (a collection of sites) are true absences given some amount of sampling effort and analysts' beliefs about site occupancy and sampling gear detection efficiency which can be used to guide inventory and monitoring efforts for juvenile salmon or other wildlife and plant species. Occupancy modelling results demonstrate that minnow traps were effective at sampling juvenile coho in shallow lake environments, with a mean probability of detection across the study period of 0.68 (i.e., probability of detecting the presence of juvenile coho given that they are present at a trap site; SE = 0.03). Juvenile coho salmon migrated into shallow water lakes in late summer and early fall, presumably to seek out overwinter habitat. N‐mixture modelling examination of habitat use demonstrated that once in shallow lake environments, juvenile coho were widely distributed across a range of microhabitats, with some evidence for preference for shallower depths and warmer water temperatures.