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corn ear test using SIFT-based panoramic photography and machine vision technology

Artificial Intelligence in Agriculture 2020年第1期4卷 162-171页

作者： Xinyi Zhang Jiexin Liu Huaibo Song College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100ShaanxiChina Key Laboratory of Agricultural Internet of Things Ministry of Agriculture and Rural AffairsYangling 712100ShaanxiChina Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service YanglingShaanxi 712100China

corn ear test is important to modern corn *** test indexesmainly include lengths,radiuses,rows and numbers of corn ears and the kernels they bear,which can benefit the study on breeding new and fine corn *** corn traits are often collected by traditional manual measurement,which is difficult to meet the needs of high throughput corn ear *** this study,image sequences of corn ear samples were captured by building a panoramic photography collecting *** then,to get the lengths and radiuses indexes,the corn area images were processed based on Lab color space and adaptive threshold *** sequence images were then matched and the panoramic image of a corn surface were extracted using Scale-invariant feature transform(SIFT).Finally,by using Exponential transformation(ETR)and Sobel-Hough algorithm,ears and rows indexes were *** results showed that the accuracy of the radiuses and lengths were 93.84%and 94.53%,***,the accuracy of kernels and rows indexes were 98.12%and 96.14%,whichwere 4.03%and 7.25%higher than that of common mosaiced panoramic *** the accuracy of kernel area and length-width ratio were 95.36%and 97.42%,*** the results showed that the proposed method can be used for corn ear test effectively.

关键词： corn ear Panoramic photography Image segmentation Image stitching Image rectification

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Rapid on-line non-destructive detection of the moisture content of corn ear by bioelectrical impedance spectroscopy

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International Journal of Agricultural and Biological Engineering 2015年第6期8卷 37-45页

作者： Zhao Pengfei Zhang Hanlin Zhao Dongjie Wang Zhijie Fan Lifeng Huang Lan Ma Qin Wang Zhongyi College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Modern Precision Agriculture System Integration Research Key Laboratory Ministry of EducationBeijing 100083China Key Laboratory of Agricultural Information Acquisition Technology(Beijing) Ministry of AgricultureBeijing 100083China

Moisture content of corn directly affects its quality and storage time,and the rapid on-line detection of the moisture content of corn ears not threshed or in vivo in the fields is *** of the special shape of corn ear,the rapid,low cost and non-destructive bioelectrical impedance measurement is more suitable for its moisture content *** the four-electrode method with the Agilent E4980A precision LCR meter,the electrical impedance spectroscopies of the sweet corn ears and waxy corn ears at different moisture contents were *** frequency range of the detection was from 20 Hz to 2 MHz and to enhance the contact,the attached-type electrodes were wrapped in cotton soaked with 0.1%NaCl *** impedance data over the frequency range from 300 Hz to 5 kHz were used to obtain the parameters of the bio-impedance Cole-Cole *** results showed a good linear correlation(coefficient of determination R2=0.960)between the equivalent parallel resistance R∞of sweet corn ear and the moisture content value determined by standard chemical *** research proved that the bioelectrical impedance spectroscopy can be used for detecting the moisture content of corn ear.

关键词： moisture content non-destructive detection bioelectrical impedance spectroscopy corn ear

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