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检索条件"任意字段=2nd IFIP International Conference on Computer and Computing Technologies in Agriculture"

共 694 条记录，以下是161-170 订阅

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Effect of website quality factors on the success of agricultural products B2C E-commerce 7

Effect of website quality factors on the success of agricult...

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7th ifip WG 5.14 international conference on computer and computing technologies in agriculture, CCTA 2013

作者： Yu, Ping Zhao, Dongmei School of Economics and Management China Agricultural University Beijing100083 China China Agricultural University Beijing100083 China

ISBN: (纸本)9783642543401

By applying analytic hierarchy process to extend the D&M IS success model, this paper builds a user preference hierarchical model for online consumers to select the most preferred website;this model is mainly constituted by the quality of information, service, system and supplier. Empirical study on agricultural products B2C field has shown that service quality is the most important factor affecting the website selections of online consumers, and ecommerce businesses should make greater efforts to improve the reliability and the rapid responsiveness of service. As supplier quality is highly correlated with user preferences, e-commerce businesses should take a balance strategy to increase product range, improve product quality with lower product price at the same time Information currency is high in the ranking, so e-commerce businesses should pay attention to update information on the website timely. © ifip international Federation for Information Processing 2014.

关键词： Websites

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Detection of downy mildew disease present in the grape leaves based on fuzzy set theory

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2nd international conference on Advanced computing, Networking and Informatics, ICACNI 2014

作者： Kole, Dipak Kumar Ghosh, Arya Mitra, Soumya Department. of Computer Science and Engineering St. Thomas' College of Engineering and Technolgy Kolkata India Department. of Computer Science and Engineering ABACUS Institute of Engineering and Management India

ISBN: (纸本)9783319073521

agriculture has a significant role in economy of the most of the developing countries. A significant amount of crops are damaged in every year due to fungi, fungus, bacteria, Phytoplasmas, bad weather etc. Grapes are one of the most widely grown fruit crops in the world with significant plantings in India. Grapes are used in the production of wine, brandy, or non-fermented drinks and are eaten fresh or dried as raisins. Sometimes grape plants are affected by downy mildew, a serious fungal disease. Therefore, farmers try to detect the stage of the disease in plant at an early stage so that they can take necessary steps in order to prevent the disease from spreading to others parts of the fields. This article presents a novel technique for detection of downy mildew disease present in the grape leaves based on fuzzy importance factor. The proposed technique uses some digital image processing operations and fuzzy set theory concept. We experimented on thirty one diseased and nondiseased images and got 87.09% success. The experimental results reveal that the proposed technique can effectively detect the present of downy mildew disease in the grape leaves. © Springer international Publishing Switzerland 2014.

关键词： Fuzzy set theory

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Notice of Violation of IEEE Publication Principles: Casattenta, Sofia and Tangerine & IT4CAD: Practical experiences

Notice of Violation of IEEE Publication Principles: Casatten...

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international conference on Current Trends in Engineering and Technology (ICCTET)

作者： D. Madhusudhanan R. Balaji M. Manikandan Department of Computer Science and Engineering VRS College of Engineering and Technology

Notice of Violation of IEEE Publication Principles “CASATTENTA, SOFIA and TANGERINE & IT4CAD: Practical Experiences” by ***, ***, *** in the Proceedings of the 2nd international conference on Current Trends in Engineering and Technology (ICCTET), July 2014 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article: “Ambient Intelligence, Smart Objects and Sensor Networks: Practical Experiences” by Elisabetta Farella in the Proceedings of the IEEE/ifip international conference on Embedded and Ubiquitous computing, December 2010 The recent advances in microelectronics and related fields have made the dream of intelligent spaces and objects come true. Reduction of technology costs, powerconsumption and form factor is enabling to exploit increased processing capabilities of sensor nodes and to distribute the intelligence in the environment. In this paper, significant examples of on-going research on smart environments, sensorized tangible interfaces applied to smart spaces and assistive technologies are presented. Each of these examples outlines some of the AmI challenges, such as, in particular, space awareness, smart space flexibility to include new smart entities and natural interfaces.

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A new navigation line extraction method for agriculture implements guidance system

A new navigation line extraction method for agriculture impl...

引用

6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Li, Mingxuan Zhang, Man Huan, Haiyan Liu, Gang Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education China Agricultural University Beijing 100083 China

ISBN: (纸本)9783642361364

To make up the shortages of the existing vision navigation algorithms such as the noise interference and the processing speed, a new approach for navigation line detection is presented in this article. This new method was based on image boundary detection. The color images were transformed into binary ones after pre-processing. Then, three stages in this method were presented. At first, the image was divided into several sectors and the boundary of the crops was detected. Then a number of points indicating the centers of the rows were determined. At last, the navigation line was estimated by an improved linear regression algorithm. Compared to other navigation line detection algorithms, this new method could find the navigation lines more accurately. It need only about 89ms to process a picture with 640x320. So it can meet the need of agricultural real-time visual navigation when the speed is 1~2m/s. © 2013 ifip international Federation for Information Processing.

关键词： computer vision

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The estimation of tree height based on LiDAR data and QuickBird imagery

The estimation of tree height based on LiDAR data and QuickB...

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6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Su, Wei Liu, Rui Liu, Ting Huang, Jianxi Zhang, Xiaodong Liu, Junming Key Laboratory of Agri-informatics Ministry of Agriculture Beijing 100081 China College of Information and Electrical Engineering China Agricultural University Beijing 100083 China

ISBN: (纸本)9783642361364

The estimation of tree height is advanced following the development of LiDAR technique. The estimation model of tree height considering suppressed trees is developed in order to extract tree height accurately using LiDAR data. Filtered LiDAR data and Quickbird imagery are segmented using watershed segmentation method based on mathematical morphology to get the boundary of trees. And the highest point in each canopy object is used to estimate tree height. Weibull distribution is used to estimate height distribution of the suppressed trees. The experiment results indicate that the watershed segmentation method based on mathematical morphology is an effective method to extract the boundary of trees. And the R2 between the tree height estimated using estimation model of tree height considering suppressed trees and the tree height measured by field work is 0.93. © 2013 ifip international Federation for Information Processing.

关键词： Mathematical morphology

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Remote sensing recognition of paddy waterlogging using change vector analysis model

Remote sensing recognition of paddy waterlogging using chang...

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6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Gu, Xiaohe Zhang, Jingcheng Xu, Peng Dong, Yingying Dong, Yansheng Beijing Research Center for Information Technology in Agriculture Beijing 100097 China

ISBN: (纸本)9783642361364

It is significant to monitor crop waterlogging range timely and correctly for later field management, agricultural insurance and yield prediction. The change regularity of paddy injured growth was analyzed and the sensitive parameters of growth stress were screened. The model of identifying the paddy waterlogging range based on change vector analysis (CVA) was developed by using the HJ-1/2 CCD images around waterlogging. At last the accuracy of the developed model was evaluated by in-situ sample data. Results showed that the waterlogged paddy mainly scattered around the Huaihe River system. The spatial distribution pattern was in conformity with the occurrence tendency of paddy waterlogging provided by local agricultural department as a whole. By evaluating the accuracy of the model with in-situ samples, the overall accuracy of the model developed in the study reached 87.5%, while the Kappa coefficient reached 0.737. The change vector analysis model could identify the waterlogged paddy and normal paddy correctly and efficient in Huaihe River Basin. © 2013 ifip international Federation for Information Processing.

关键词： Remote sensing

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A sampling design for monitoring of the cultivated areas of main crops at national scale based 3S technologies in China

A sampling design for monitoring of the cultivated areas of ...

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6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Wu, Quan Pei, Zhiyan Wang, Fei Zhao, Hu Guo, Lin Sun, Juanying Jia, Lijuan CAAE Chinese Academy of Agricultural Engineering Remote Sensing Application Centre 41 Maizidian Street Chaoyang District Beijing China

ISBN: (纸本)9783642361364

Remote Sensing Application Centre (RSAC) has been working on monitoring the main crop cultivated areas as operational task and research project for several *** main problems is that the time and features of background data used in sampling maybe produce system errors. The sampling method called stratified sampling adopted by RSAC is also used in this study. But there is an important difference that the background data used to stratify is the same year's cultivated land data derived from an analysis result to MODIS data, containing crop cultivated area proportion information, instead of cultivated land data. The Area Proportion Enlargement Estimation (APEE) model designed in this study is different with Area Enlargement Estimation (AEE) adpoted by RSAC. The new APEE model was set up through calculating with twice weighted averaging. A case study limitedly presents the process of the sampling design and testifies feasibility of the method. © 2013 ifip international Federation for Information Processing.

关键词： Crops

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The simulation models of nitrogen accumulation and partitioning in plant for protected cultivated tomato

The simulation models of nitrogen accumulation and partition...

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6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Chen, Yuli Cao, Hongxin Zhu, Yan Liu, Yan Zhang, Weixin Institute of Agricultural Economics and Information Engineering Research Center for Digital Agriculture Jiangsu Academy of Agricultural Sciences Nanjing 210014 Jiangsu Province China College of Agronomy Nanjing Agricultural University Nanjing 210095 Jiangsu Province China

ISBN: (纸本)9783642361364

(Objective) In order to quantify the nitrogen accumulation and partitioning of protected cultivated tomato plant. (Method) The field experiments on cultivars and fertilizer were conducted in 2009 and 2010, and cultivars: B1, B2, and B3 were adopted.(Result) The simulation models of nitrogen accumulation and partitioning for protected cultivated tomato plant were built by analyzing the relationship between partitioning index and product of temperature and light in accordance with the tomato growth characteristics in this paper. The models were validated using independent experiment dataset, the results showed that RMSE, Xde, and R2 between simulated and measured values of nitrogen accumulation in above-ground plant and root were 0.546 g·m -2, 0.447 g·m-2, and 0.956;0.041 g· m -2, 0.033 g·m-2, and 0.942, respectively. That of nitrogen accumulation in stem, leaf, and fruit were 0.165 g·m -2, 0.132 g·m-2, and 0.839;0.146 g·m -2, 0.099 g·m-2, and 0.945;0.246 g· m -2, 0.166 g· m-2, and 0.845, respectively. (Conclusion) This study indicated that the nitrogen accumulation and partitioning of different cultivars and fertilizer levels in the protected cultivated tomato plant could be well simulated by these models. © 2013 ifip international Federation for Information Processing.

关键词： Fruits

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The potential geographical distribution of Locusta migratoria tibetensis Chen (Orthoptera: Acrididae) in Qinghai-Tibet Plateau

The potential geographical distribution of Locusta migratori...

引用

6th international conference on computer and computing technologies in agriculture, CCTA 2012

作者： Tu, Xiongbing Li, Zhihong Zhang, Zehua Wu, Zhigang Ni, Wenlong Fu, Liao Shali, Yasen Department of Entomology College of Agriculture and Biotechnology China Agricultural University Beijing 100193 China Key Laboratory for Biological Control of Ministry of Agriculture Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China

ISBN: (纸本)9783642361364

Locusta migratoria tibetensis Chen (Orthoptera: Acrididae) is one of the most harmful species of Acrididae. It causes extensive damage to gramineous crops. The climate mapping program, CLIMEX 3.0, and the GIS software, ArcGIS 9.3, were used to model the current and future potential geographical distribution of L. m. tibetensis. The model predicts that, under current climatic conditions, L. m. tibetensis will be able to establish itself throughout much of Qinghai-Tibet Plateau in China, including Qinghai,Tibet and Sichuan province. A total of 94.23% of Qinghai-Tibet Plateau's land mass or 2.22×106 km2, is climatically suitable under current climatic conditions. In this study, the potential distribution of L. m. tibetensis under future climate scenarios was projected and quantified climatically suitable areas. In Qinghai-Tibet Plateau, the total suitable climate land mass was increased by 0.16×106 km2 or 0.70% until 2100. However, compared to 2020 and 2050, the suitable land mass was decreased by 0.47×106 km2 and 0.17×10 6 km2. The most optimal area would increase 0.16 ×106 km2 until 2100, the most of Qinghai-Tibet Plateau would be expected to offer optimal climatic conditions for the possible spread and establishment of the pest. The analysis of this information indicated a high degree of accuracy for the CLIMEX model. The significant increases in the potential distribution of L. m. tibetensis projected under the climate change scenarios considered in this study suggest that biosecurity authorities should consider the effects of climate change when undertaking pest risk assessments. © 2013 ifip international Federation for Information Processing.

关键词： Geographical distribution

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Segmentation of Small Animal Computed Tomography Images Using Original CT Values and Converted Grayscale Values

Segmentation of Small Animal Computed Tomography Images Usin...

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7th ifip WG 5.14 international conference,CCTA 2013

作者： Guoqiang Ma Naixiang Li Xiaojuan Wang Dept. of Computer Science & Information Engineering Tianjin Agriculture University Library Tianjin Agriculture University

ISBN: (纸本)9783642543432

Medical image segmentation is the foundation of normal and diseased tissue 3D visualization,operation simulation and visual *** this paper,we comprehensively use two values that represent the same object(body tissue),to segment by the same algorithm *** original CT images are downloaded from the web source,the dog rib tumor CT scan image by GE medical systems,all the experiment of dataset of 312 thoracic CT *** core of the segmentation is k-means clustering *** segmentation process consisted of two phases:(1) convert CT value to JPG gray value or not use the original CT value as the data sets for clustering;(2)segmentation bone tissue using the new k-means clustering algorithm program which is implemented with MATLAB 2012 a programming language and for two-dimensional data matrix *** experiment produced strikingly different *** results may be indicating that not only the segmentation algorithm of CT image is important,but also the data for segmentation is important too.

关键词： Image segmentation Computed tomography k-means clustering

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