计算机犬病诊断原理

本研究模拟人类专家的诊断过程,对常见犬病用计算机进行诊断模拟,试验建立了犬病诊断的计算机处理系统(QBZD)。本文主要阐述了QBZD系统的结构构成、诊断机理及操作应用     

电脑图象分析在油菜及其近缘植物染色体研究中的应用

作者使用电脑图象分析仪对油菜及其近缘植物的9个种、50个品种作了染色体图象分析，并将上述植物的核型数据输入贮存在电脑中，初步建立了油菜及芸苔属植物核型分析数据的电脑数据库。在此基础上，作者讨论了油菜及芸苔属植物染色体电脑图象分析和电脑数据库在油菜基础理论研究和育种实际工作中的利用价值。     

更新林相图的计算机辅助方法

常规编制与更新林相图的方法要求昂贵的光学机械纠正仪器、较高的操作技术和成本。文章提出一种利用计算机辅助纠正航空象片更新林相图的方法,可以降低成本,提高成图效率。为了实现这种方法,首先根据航空摄影理论分析,推导出适合编程的航空纠正数字化线性模型和算法。该模型要求在底图和航片上有四对控制点坐标,求算纠正参数。采用数字化仪测定这些坐标,求解参数,然后根据该线性模型对航片上编图要素的数字化坐标进行非共面变换,进而更新林相图。为完成这一过程需要四个程序模块和处理流程。使用这种方法更新林相图既能保证精度要求,又具有操作简单的优点。     

Assessing exterior egg quality indicators using machine vision

ABSTRACT

1. The objective of this study was to develop a machine vision method for analysing exterior parameters of chicken eggs to automate the stage of primary sorting.

2. The developed algorithm based on predetermined thresholds calculated egg quality indicators, including geometric dimensions, shape index and the mottling grade. The algorithm was implemented with an experimental setup that combined the image-based and the candling methods. A total of 400 egg samples were analysed.

3. Comparison of results of the algorithm with those obtained using the traditional manual method showed that mean value of radii values difference was 0.095 ± 0.058 mm for the sharp and 0.080 ± 0.047 mm for the blunt end of the egg, with standard deviations of 0.58 mm and 0.49 mm, respectively.

4. The correlation coefficient between the shape index values determined by the two methods was 0.93; the standard deviation of absolute differences between corresponding values was 1.05%.

5. The results of mottling grade estimation were compared using F-measure and confusion matrix.

6. The results allow the possibility to perform the assessment of egg exterior quality factors in an automatic mode, independent of the expertise of a grader.     

A computer vision system for oocyte counting using images captured by smartphone

This work proposes a computer vision procedure for counting Twospot astyanax (Astyanax bimaculatus) oocytes in Petri dishes using images captured by smartphone. First, the proposed procedure uses simple linear iterative clustering (SLIC) to divide the images into groups of pixels (superpixels). Then, based on their color and space characteristics, the images are classified into light background, dark background, dirt, or oocyte by a machine learning algorithm. Five different types of machine learning algorithms were tested: support vector machines (SVM), decision trees using the algorithm J48 and random forest, k-nearest neighbors (k-NN), and Naive Bayes. To train the algorithms, 8.578 superpixels were classified by an expert into oocyte (n = 354), dirtiness (n = 651), dark background (n = 3.622), and light background (n = 3.951). Of the five learning algorithms, SVM obtained the best result with 97% correct oocyte recognition. Given the wide availability of smartphones, we therefore conclude that the presented procedure can be a valuable tool in future experiments and studies on fertilization and hatching success in Twospot astyanax.     

关于农业工程类计算机网络课程教学的改革与探索

随着社会信息化进程的加快和对农业院校人才培养模式改革的迫切需要,围绕如何提高学生利用网络的能力,增强业务素质这一主题,从教学内容、教学方法及教学手段等方面进行了改革和探索,收到了良好的效果。     

关于计算机基础课实行无纸化考试的几点思考

非计算机专业计算机基础课程面向所有非计算机专业学生,考试覆盖范围广、规模大,实行无纸化考试是一种必然趋势。该文分析了高校计算机基础课程无纸化考试的优越性,提出了无纸化考试系统的要求,并对所存在的问题进行了分析。     

轧花机变频调速参数自调整模糊控制系统

通过对ＭＹ－１２１轧花机的内部结构及工作原理的研究，指出现行籽棉物流控制系统的不足，研制了模糊智能变频调速系统，控制方案已在计算机上实现，并用于棉厂实时控制，该模糊控制系统运行结果是令人鼓舞，极大地改善了控制精度，稳定了扎花生产。     

联合收割机脱粒装置三维参数化系统设计

以4ZL－3．0型联合收割机脱粒装置为基础，并以Autodesk公司三维造型软件MDT3．0为设计平台，利用AutoLisp及ObjectARX等开发工具，建立了以数据库为中心的脱粒装置三维参数化设计系统。整个系统按照自上而下的并行方式进行设计，并按照装配等级模型对滚筒的零部件进行了装配。此系统保证了整体的协调性和一致性，并可实现脱粒装置及其变形产品零件图及装置图的快速生成。     

基于Markov随机场的猪肉糜微结构图像模拟

利用Markov随机场和Gibbs分布理论，建立了猪肉糜微结构图像的随机场模型，然后通过迭代方法，对不同微结构的猪肉糜图像进行了随机模拟，同时对随机模拟图像和原始图像作了对比分析。糜状食品物料微观结构图像的分析和模拟是定研究其微结构模式形态对流变特性影响的关键问题。通过从已知流变特性反演糜状食品物料微结构的几何形态，可以更深入地探讨、研究微结构形成的动力学机制和过程，进而沟通流变特性和微结构形态之间的联系，从而为定量描述糜状食品物料的流变特性提供了条件。