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Accurate Inference of Rice Biomass Based on Support Vector Machine

Accurate Inference of Rice Biomass Based on Support Vector M...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Lingfeng Duan Wanneng Yang Guoxing Chen Lizhong Xiong Chenglong Huang College of Engineering Huazhong Agricultural University Agricultural Bioinformatics Key Laboratory of HubeiProvince Huazhong Agricultural University National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research Huazhong Agricultural University MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River Huazhong Agricultural University

ISBN: (纸本)9783319483566

Biomass is an important phenotypic trait in plant growth analysis. In this study, we established and compared 8 models for measuring aboveground biomass of 402 rice varieties. Partial least squares（PLS） regression and all subsets regression（ASR） were carried out to determine the effective ***, 6 models were developed based on support vector regression（SVR）. the kernel function used in this study was radial basis function（RBF）. three different optimization methods, Genetic Algorithm（GA） K-fold Cross Validation（K-CV）, and Particle Swarm Optimization（PSO）, were applied to optimize the penalty error C and RBF c. We also compared SVR models with models based on PLS regression and ASR. the result showed the model in combination of ASR, GA optimization and SVR outperformed other models with coefficient of determination（R） of 0.85 for the 268 varieties in the training set and 0.79 for the 134 varieties in the testing set, respectively. this paper extends the application of SVR and intelligent algorithm in measurement of cereal biomass and has the potential of promoting the accuracy of biomass measurement for different varieties.

关键词： Rice biomass Support vector regression Partial least squares All subsets regression Support Vector Network Partial least squares aquifer storage and recovery Speech recognition Biomass Particle swarm optimization breeding Optimization methods Regression (Psychology)

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Method and System of Maize Hybridized Combination Based on Inbred SSR and Field Test

Method and System of Maize Hybridized Combination Based on I...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Zhe Liu Zhenhong Zhang Shaolong Fu Xiaodong Zhang Dehai Zhu Shaoming Li College of Information and Electrical Engineering China Agricultural University

ISBN: (纸本)9783319483566

Molecular breeding is considered an important way to improve the breeding efficiency. But due to the deletion of data, method and instrument,molecular design breeding is basically at the concept stage, without operational technology process and breeding practice. On the basis of breeding data from Beijing Kings Nower Seed S&T CO, LTD, this paper explored a set of methods for maize design breeding based on molecular detection and phenotypic testing information. Firstly, the parents of the combinations were obtained from the inbred lines with high homozygosity through SSR detecting and good comprehensive traits through field testing;secondly, the heterosis rate of the parents was got by calculating both the genetic differences and phenotypic differences of the parents according to the SSR detection results and field testing results respectively to express the special combining ability of their own;finally, in this paper it constructed the hybridization group model by using the comprehensive characters, special combining ability, orthogonal antivalue, calculated the comprehensive characters, advantages, disadvantages of the hybridizations, and screened hybrid combinations to the next round field breeding, it also developed a software system of hybrid combination to support the technology *** the software, 37 hybrid combinations resistance to Ralstonia solanacearum were got based on 179 inbred lines with molecular and phenotypic ***, the method and software preliminary provides technical support for our country to carry out and perfect the molecular design breeding.

关键词： Maize Breeding Heterosis DNA fingerprint field experimentation DNA Fingerprinting Zea mays breeding Hybrid Vigor concept phase Software systems Parents combining ability semiconductor relays inbred lines DNA Shuffling technical support

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Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on Zig Bee Wireless Network

Information Acquisition for Farmland Soil Carbon Sink Impact...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Bingbing Wang Dekun Zhai Lijuan Sun Dandan Yang Zhihong Liu Qiulan Wu School of Information Science and Engineering Shandong Agricultural University

As the main part of terrestrial ecosystem, farmland ecological system9;s estimation of carbon sink not only can help to understand the soil organic carbon content in farmland and increase the crop yield, but also c... 详细信息

ISBN: (纸本)9783319483535

As the main part of terrestrial ecosystem, farmland ecological system's estimation of carbon sink not only can help to understand the soil organic carbon content in farmland and increase the crop yield, but also can have great significance to the research on farmland ecosystem's influence to global climate warmingthrough analyzing soil organic carbon estimation model of carbon sink factors, this article provides a method using multi sensors technology to acquire impact factors of soil carbon sink estimation and upload the results to the host computers by Zig Bee+GPRS technology to realize the estimation of regional soil organic carbon in farmlandthis research sets its research area in wheat experi‐mental field in Yanzhou, Shandong Province, and by laying sensor nodes in the experimental field to acquire impact factors, the research aims to build reliable transmission of acquired factors by the Zig Bee wireless sensor network,combined with GPRS technologythe result shows that this method can realize the reliable transmission of impact factors of the soil carbon sink in farmland and is of great significance to improve the accuracy of the estimation of soil carbon sink.

关键词： Farmland soil organic carbon Carbon sink ZigBee GPRS Carbon Sequestration ZigBee impact factor Packet radio networks soil organic carbon Farmland information gathering Soil carbon Wireless sensor networks on line data service experimental fields

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Development of Variable Rate System for Disinfection Based on Injection Technique

Development of Variable Rate System for Disinfection Based o...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Wei Ma Xiu Wang Lijun Qi Wei Zou College of Engineering China Agricultural University National Engineering Research Center of Intelligent Equipment for Agriculture

ISBN: (纸本)9783319483535

A variable soil pesticide injection system was developed for control of soil pesticide amount by PWMthe paper analyzed a algorithmic model of control system, and designed hardware, algorithm and control of soil pesticide,mainly software flow and a feedback control wayIn the paper, the variable-rate control system was consisted of infrared sensor, speed sensor, PWM valve, and pump motorAccording to the amount of soil pesticide information, controller can automatically control flow amount by adjusting solid solenoid valve and PWM valve based on working speed, which changes the pulse duty cycle to achieve the variable workInjection experiments of soil pesticide was pre-set different dosage, the results shown that pesticide amount was precise in fact, and the errors was less than 3.2 %the system could achieve variable rate injection of liquid pesticide into deep soil based on infrared sensorFitting equation of flow amount by adjusting PWM valve based on working speed could draw the R2 value of 0.935the chip can calculate the output PWM duty cycle according to the preset injection of soil pesticide amount after collected the speed of tractorthe feedback control is to regulate the PWM signal duty cycle according the real liquid flow obtained by the microcontroller chip which collected the output signal of liquid sensor which fixed on pesticide pipeline.

关键词： Crop protection Soil-borne disease Variable rate injection Control system control systems Crop Protection plant protection Pesticides working speed Pulse width modulation Pokeweed Mitogens soil-borne diseases pulse duty cycle Disinfection variable ratio outgoing signal liquid sensor hardware algorithm feedback control

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Rapid Identification of Rice Varieties by Grain Shape and Yield-Related Features Combined with Multi-class SVM

Rapid Identification of Rice Varieties by Grain Shape and Yi...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Chenglong Huang Lingbo Liu Wanneng Yang Lizhong Xiong Lingfeng Duan College of Engineering Huazhong Agricultural University Agricultural Bioinformatics Key Laboratory of HubeiProvince Huazhong Agricultural University Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research Huazhong Agricultural University

ISBN: (纸本)9783319483566

Rice is the major food of approximately half world population and thousands of rice varieties are planted in the world. the identification of rice varieties is of great significance, especially to the breeders. In this study, a feasible method for rapid identification of rice varieties was developed. For each rice variety, rice grains per plant were imaged and analyzed to acquire grain shape features and a weighing device was used to obtain the yield-related parameters. then, a Support Vector Machine(SVM) classifier was employed to discriminate the rice varieties by these features. the average accuracy for the grain traits extraction is 98.41 %, and the average accuracy for the SVM classifier is 79.74 % by using cross validation. the results demonstrated that this method could yield an accurate identification of rice varieties and could be integrated into new knowledge in developing computer vision systems used in automated rice-evaluated system.

关键词： Computer vision Rice varieties identification Grain shape Rice yield Multi-class SVM Grain shape images computer vision Rice Support Vector Network breeding Computer Vision Systems multi-class

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Prologue: Unified polymorphic routing towards flexible architecture of reconfigurable infrastructure 9

Prologue: Unified polymorphic routing towards flexible archi...

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9th international ICST conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TridentCom 2014

作者： Pan, Kai Li, Hui Liu, Weiyang Zhu, Zhipu Chen, Fuxing Zhu, Bing Shenzhen Engineering Lab of Converged Networks Technology Shenzhen Key Lab of Cloud Computing Technology and Application Peking University Shenzhen Graduate School Shenzhen518055 China

ISBN: (纸本)9783319133256

Today’s internet architecture was designed and proposed in the 60s and 70s with the intention to interconnect several computing resources across a geographically distributed user group. With the advent of substantially various internet businesses, traditional internet is increasingly powerless to satisfy the unprecedented demands. this paper probed the polymorphic routing prototype based on proposed Flexible Architecture of Reconfigurable Infrastructure (FARI) which attempts to emerge as a clean-slate revolution of future internet and resorts to centralized control manner. Routers in FARI were reconfigurable to adapt to different businesses in terms of identifier type. Moreover, a preliminary framework of FARI is proposed in the end of the article. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

关键词： Reconfigurable architectures

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Inter-connection automation for OF@TEIN multi-point international OpenFlow Islands 9

Inter-connection automation for OF@TEIN multi-point internat...

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9th international conference on Future internet Technologies, CFI 2014

作者： Na, Taeheum Kim, Jongwon School of Information and Communications Gwangju Institute of Science and Technology Gwangju Korea Republic of

ISBN: (纸本)9781450329422

In realizing futuristic services with agility, testbed environments that provide converged computing/networking resources based on SDN (Software-Defined Networking) and CC (Cloud computing) are becoming important. Following this trend, OF@TEIN OpenFlow-enabled SDN testbed environment is built with internationally-distributed unique SmartX Racks. In this paper, to automate the multi-point L2 inter-connections of OpenFlow islands, we design and implement a configuration tool for NVGRE (Network Virtualization using Generic Routing Encapsulation) tunneling. the proposed tool manages the desired topology by leveraging the OVSDB (Open vSwitch Database) configuration interface for OpenFlow switches. With the implemented tool and appropriate admin/user privilege management, we can quickly inter-connect the multi-point international OpenFlow islands while letting users to freely control (i.e., tag/steer/map) their own flows for experimentation. © 2014 ACM.

关键词： Software defined networking

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Biomass-Based Leaf Curvilinear Model for Rapeseed(Brassica napus L.)

Biomass-Based Leaf Curvilinear Model for Rapeseed(Brassica n...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Wenyu Zhang Weixin Zhang Daokuo Ge Hongxin Cao Yan Liu Kunya Fu Chunhuan Feng Weitao Chen Chuwei Song Institute of Agricultural Economics and Information Engineering Research Center for Digital AgricultureJiangsu Academy of Agricultural Sciences

ISBN: (纸本)9783319483566

Leaf is one of the most important photosynthetic organs of rapeseed(Brassica napus L.). To quantify relationships between the leaf curve and the corresponding leaf biomass for rapeseed on main stem, this paper presents a biomass-based leaf curvilinear model for rapeseed. Various model variables,including leaf length, bowstring length, tangential angle, and bowstring angle,were parameterized based on data derived from the field experiments with varieties, fertilizer, and transplanting densities during 2011 to 2012, and 2012 to2013 growing seasons. And then we analysed the biological significance of curvilinear equation for straight leaves, constructed the straight leaf probabilistic model on main stem, quantified the relationship between leaf curvature and the corresponding leaf biomass, and constructed the leaf curvilinear model based on the assumption and verification of the curvilinear equation form for curving *** probability of straight leaf can be quantified with piecewise function according to the different trend in the normalized leaf ranks((0, 0.4], and(0.4, 1]). the leaf curvature decreased with the increasing of leaf biomass, and can be described with reciprocal function. the curve of straight leaf and the curving leaf can be simulated by linear equation and the quadratic function,respectively. Our models were validated with the independent dataset from the field experiment, and the results indicated that the model could effectively predict the straight leaf probability and leaf curvature, which would be useful for linking the rapeseed growth model with the rapeseed morphological model, and set the stage for the development offunctional-structural rapeseed models.

关键词： Rapeseed (Brassica napus L.) Biomass Leaf curve Functional-structural plant models (FSPMs) foliage rapeseed Brassica napus Biomass field experimentation Developmental stages Piecewise Function Straight bowstring bowstring test Linear equation

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Analysis of Changes in Agronomic Parameters and Disease Index of Rapeseed Leaf Leukoplakia Based on Spectra

Analysis of Changes in Agronomic Parameters and Disease Inde...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Kunya Fu Hongxin Cao Wenyu Zhang Weixin Zhang Daokuo Ge Yan Liu Chunhuan Feng Weitao Chen College of Agronomy Nanjing Agricultural University Institute of Agricultural Economy and Information/Engineering Research Center for Digital Agriculture Jiangsu Academy of Agricultural Sciences

ISBN: (纸本)9783319483566

the non-destructive, rapid and accurate monitoring diagnosis of rapeseed diseases is of significance for sustainable development of rapeseed production and environment protection. the spectrum data of rapeseed leaf leukoplakia were collected in the experimental Farm of Jiangsu Academy of Agricultural Science in 2013 and 2014. Firstly, the common distinctive bands of the disease and the health were found by comparing re flectance spectrum of leaves in the field and under black background. the results showed that with the progress of the growth period, re flectance of disease leaves decreased earlier than healthy leaves. It was the best period to identify rapeseed leukoplakia from11 days after early anthesis to 9 days after finish flowering to identify rapeseed leukoplakia in the field due to during this period the re flectance of healthy leaves remained at 35 % while the disease diseased to 30 %. the sensitive band was in the range of 760–1080 nm. the correlation among disease index(DI), agronomic parameters, and the re flectance of the disease samples were analysed, and the results showed that there were high correlations between DI, and agronomic parameters and re flectance, e.g., the correlation between the leaf moisture content and the re flectance in 460 nm, 550 nm, 650 nm, 710 nm, 760 nm,1480 nm, and 1600 nm, between the leaf nitrogen content and the re flectance in810 nm, 870 nm, 1080 nm, 1280 nm, 1320 nm, 1540 nm, 1600 nm, 1650 nm,and 1700 nm, and between the SPAD value and the re flectance in 1200 nm,1280 nm, and 1540 nm had significance with p < 0.01. the quantitative models of agronomic parameters based on reflectance were developed by stepwise regression, principal component analysis, and curve fitting. the data of rapeseed leukoplakia in 2013 and rapeseed virus in 2014 were used to test. the results showed that in the same disease test, the quantitative models of moisture content based on reflectance were fit well. In the different disease test, the quan

关键词： Rapeseed leukoplakia Spectrum reflectance Disease index Agronomic parameters Reflectance Newton meter rapeseed Leukoplakia moisture content maladjustment foliage Spectra leaf nitrogen content

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Rapeseed(Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass

Rapeseed(Brassica napus L.) Primary Ramification Morphologic...

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the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Weixin Zhang Hongxin Cao Wenyu Zhang Yan Liu Daokuo Ge Chunhuan Feng Weitao Chen Chuwei Song Institute of Agricultural Economic and Information Engineering Research Center for Digital AgricultureJiangsu Academy of Agricultural Sciences

ISBN: (纸本)9783319483566

Primary ramification morphogenesis has a significant in fluence on the yield of rapeseed. In order to quantify the relationship between rapeseed architecture indices and the organ biomass, a rapeseed primary ramification structural model based on biomass were presented. Intended to explain effects of cultivars and environmental conditions on rapeseed PR morphogenesis. the outdoor experiment with cultivars: Ningyou 18（V1, conventional）, Ningyou 16（V2, conventional） and Ningza 19（V3, hybrid）, and designed treatment of cultivar-fertilizer, cultivar-fertilizer-density, and cultivar tests in 2011–2012 and2012–2013. the experimental result showing that the leaf blade length of PR,leaf blade width of PR, leaf blade bowstring length of PR, PR length, and PR diameter from 2011 to 2012 were goodness, and their d values and RMSE values were-1.900 cm, 5.033 cm（n = 125）;-0.055 cm, 3.233 cm（n = 117）;0.274 cm, 2.810 cm（n = 87）;-0.720 cm, 3.272 cm（n = 90）;0.374 cm,0.778 cm（n = 514）;0.137 cm, 1.193 cm（n = 514）;0.806 cm, 8.990 cm（n = 145）;and-0.025 cm, 0.102 cm（n = 153）, respectively. the correlations between observation and simulation in the morphological indices were significant at P < 0.001, but the d ap values were <5 % for the second leaves length and the third leaves length, leaf blade bowstring length, PR length, and PR diameter, which indicated that the model's accuracy was high. the models established in this paper had de finite mechanism and interpretation, and the impact factors of N, the ratio of the leaf length to leaf dry weight of primary ramification（PRRLW）, and the partitioning coefficient of leaf blade dry weight of primary ramification（PRCPLB） were presented, enabled to develop a link between the plant biomass and its morphogenesis. thus, the rapeseed growth model and the rapeseed morphological model can be combined through organ biomass, which set a reference for the establishment of FSPMs of rapeseed.

关键词： Biomass FSPMs Rapeseed Primary ramification rapeseed leaf blade Biomass Curium Centimetre Public Relations Praseodymium Brassica napus impact factor

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