Prediction of baking results from farinograph measurements by using stepwise linear regression and artificial neuronal networks     

《Journal of Cereal Science》2017

In an effort to extract additional data from farinograph experiments a model was developed to simulate the measurements and correlate the parameters of the model with results from baking tests. This additional information can be used in bakeries to predict the baking properties of the flours and adjust the recipes to maintain a constant product quality. For this eight different flours were characterized with a farinograph and 13 different results from baking experiments. An approach with five nonlinear differential equations was able to model the farinograph measurements very well (average R² = 0.995 ± 0.005). While a stepwise multilinear regression only showed weak correlations in cross validation between a single parameter of the model and the baking volume (R² = 0.745) and the volume yield (R² = 0.796) respectively, the artificial neuronal network was more successful. For the baking weight (R² = 0.926), the dough yield gross (R² = 0.909) and net (R² = 0.913) strong correlations were found. A good correlation for the baking volume (R² = 0.853) was also determined, while the volume yield showed comparable results to the linear regression (R² = 0.792).  相似文献   

人工神经网络在电力系统短期负荷预测中的应用     

胡晖  杨华  胡斌 《湖南农业大学学报(自然科学版)》2004,31(5)

根据电力系统短期负荷变化的特性，提出BP模型在实际负荷预测应用中的方法和步骤．对BP网络结构、样本空间、收敛性等作了有针对性的研究．结果表明：多层神经网络应用于电力系统短期负荷预测是可行和有效的．其预报结果比传统的负荷预测方法更准确、经济、效果更好．  相似文献   

计算机犬病诊断原理   总被引：1，自引：0，他引：1  

刘孟强  何保荣  刘桂荣  杨宝拴 《农业网络信息》2004,(7):11-13,31

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  相似文献   

电流模式神经网络     

王建东  洪毅 《湖南农业大学学报(自然科学版)》1993,20(5)

把电流模式电路引进了神经网络理论，提出了一种用电流模式电路构成的神经网络阈值处理单元，并由此构成了电流模式Ｈｏｐｆｉｅｌｄ神经网络，此网络中信号都是以电流的形式出现的。  相似文献   

电脑图象分析在油菜及其近缘植物染色体研究中的应用   总被引：1，自引：1，他引：0  

蓝泽蘧  游志胜 《作物学报》1994,20(2):129-135

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。  相似文献   

更新林相图的计算机辅助方法     

周洪泽 《东北林业大学学报》1992,20(4):38-44

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。  相似文献   

Assessing exterior egg quality indicators using machine vision     

A. V. Vasileva  E. V. Gorbunova  A. S. Vasilev  V. S. Peretyagin  A. N. Chertov  V. V. Korotaev 《British poultry science》2018,59(6):636-645

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.  相似文献   

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

《Aquacultural Engineering》2019

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.  相似文献   

基于无线传感网络隧道亮度信号采集系统的研究     

廖江  郑伟  李良荣 《山东饲料》2015,(4)

亮度信号是高速公路隧道节能照明控制系统必须检测的物理量。本文基于zigbee的技术特点，设计了一款基于无线传感网络的隧道亮度信号采集系统。系统的传感器节点负责亮度信号的采集，经CC2530处理发送，通过逐级跳转的方式把数据传输到协调器。协调器通过RS232串口与灯具控制器通信，以此实现对亮度信号的实时采集和可靠性传输。通过实验表明，该系统达到了设计的目的，并适用于高速公路隧道节能照明控制系统。  相似文献   

关于农业工程类计算机网络课程教学的改革与探索     

曾立华  冯娟 《农业网络信息》2016,(7):138-140

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。  相似文献