Key Laboratory for Information Technologies in Agriculture

Beijing, China

Key Laboratory for Information Technologies in Agriculture

Beijing, China
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Miao Y.-S.,Beijing Academy of Agriculture and Forestry Sciences | Miao Y.-S.,Chinese National Engineering Research Center for Information Technology in Agriculture | Miao Y.-S.,Key Laboratory for Information Technologies in Agriculture | Yuan L.,Peking University | And 6 more authors.
Applied Mechanics and Materials | Year: 2014

Power consumption is a key point of WSN (Wireless Sensor Network) lifespan. Because of difference among monitoring objects and complex signal channel condition, the power consumption of each node in farmland WSN is uneven, which makes the network performing as multi-level energy heterogeneous. LEACH and its improving algorithms average the power consumption between nodes by clustering and cluster-head switching. But the cluster-head voting brings a lot extra power consumption. To solve this problem, this paper proposes EACHS (Energy Approximation Cluster-Head Selection), an optimized cluster-head selection mechanism that approximates the energy of cluster-head targeting the lowest energy level in the network. When approaching the target, the current cluster-head collects the energy status of all nodes and determines which one becoming the new cluster-head. The simulation results show that, EACHS can balance the network power consumption and reduce most protocol cost, prolong the overall network lifespan. © (2014) Trans Tech Publications, Switzerland.


Zhu H.J.,Chinese National Engineering Research Center for Information Technology in Agriculture | Zhu H.J.,Key Laboratory for Information Technologies in Agriculture | Wu H.R.,Chinese National Engineering Research Center for Information Technology in Agriculture
Applied Mechanics and Materials | Year: 2013

As an important indicator of Web application performance testing - load capacity is a key factor to judge the merits of the Web application performance, load testing model is an important premise to accurately obtain the Web applications load capacity; This article is based on the model of user groups, Through further analysis of the general user behavior, user groups model is been improved properly. The practical application shows that the improved model more realistically simulate real user behavior, and make the data more statistical significance, which can more accurately predict the performance of web applications. © (2013) Trans Tech Publications, Switzerland.


Zhang J.,Beijing Academy of Agriculture and Forestry Sciences | Zhang J.,Chinese National Engineering Research Center for Information Technology in Agriculture | Zhang J.,Key Laboratory for Information Technologies in Agriculture | Zhang J.,University of South Florida | And 11 more authors.
Computers and Electronics in Agriculture | Year: 2014

Detection of yellow rust is of great importance in disease control and reducing the use of fungicide. Spectral analysis is an important method for disease detection in terms of remote sensing. In this study, an emerging spectral analysis method known as continuous wavelet analysis (CWA) was examined and compared with several conventional spectral features for the detection of yellow rust disease at a leaf level. The leaf spectral measurements were made by a spectroradiometer at both Zodaks 37 and 70 stages with a large sample size. The results showed that the wavelet features were able to capture the major spectral signatures of yellow rust, and exhibited considerable potential for disease detection at both growth stages. Both the accuracies of the univariate and multivariate models suggested that wavelet features outperformed conventional spectral features in quantifying disease severity at leaf level. Optimal accuracies returned a coefficient of determination (R2) of 0.81 and a root mean square error (RMSE) of 0.110 for pooled data at both stages. Furthermore, wavelet features showed a stronger response to the yellow rust at Zodaks 70 stage than at Zodaks 37 stage, indicating reliable estimation of disease severity can be made until the Zodaks 70 stage. © 2013 Elsevier B.V.


Xinting Y.,Chinese National Engineering Research Center for Information Technology in Agriculture | Ming L.,Key Laboratory for Information Technologies in Agriculture | Chuanheng S.,Key Laboratory for Information Technologies in Agriculture | Jianping Q.,Key Laboratory for Information Technologies in Agriculture | Zengtao J.,Key Laboratory for Information Technologies in Agriculture
Recent Patents on Computer Science | Year: 2012

Agricultural product quality safety is one of the hot topics in the world. From the technical view, the agricultural production management and traceability are the key measurement for insuring the quality safety. The paper introduced the research progress of traceability systems, and also discussed relevant patents. From 2005 until now, based on long-term requirement investigation and analysis, we have been investigating the system architecture for the data flow of information service for agricultural product quality safety, and developed six techniques, four equipments and six kinds of information systems. The six techniques include individual identification and coding, barcode generating and printing middleware, barcode encryption and decryption, RFID middleware, GAP-based (good agricultural practices) early warning, and XML-based data transferring. The four equipments are portable real-time record-keeping equipments for agricultural production, portable intelligent dispatching equipments for agricultural products, portable supervision equipments for agricultural products, and control equipments for agricultural product sale. The six kinds of information systems are environmental evaluation systems for agricultural fields, management information systems for agricultural safe production, wholesale market management system, logistics management system, agricultural product quality safety supervision and traceability systems and emergency management systems for agricultural product quality. Until October 2011, we have applied the above techniques to aquatic products, vegetables and fruits, as well as livestock traceability in Beijing, Tianjin, and Guangdong, China. The application has gained significant economical, social and ecological benefits. © 2012 Bentham Science Publishers.


Wu H.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wu H.,Key Laboratory for Information Technologies in Agriculture | Gao R.,Chinese National Engineering Research Center for Information Technology in Agriculture | Gao R.,Key Laboratory for Information Technologies in Agriculture
Journal of Computational Information Systems | Year: 2011

The node localization problem in Wireless Sensor Networks has received considerable attentions. The localization can be categorized as range-free or range-based schemes based on whether the range information is used among the localization process. DV-Hop is one of the range-free localization algorithms using hop-distance estimation. In this paper, the DV-Hop localization algorithm is argued, which has low positioning accuracy. To solve this problem, a new estimation model to improve the DV-Hop algorithm is proposed by considering the relationships between the communication ranges and the hop-distances. This scheme needs no additional hardware support and can be implemented in a distributed way. Simulation results show that the performance of the proposed algorithm is superior to that of the DV-Hop algorithm. Copyright © 2011 Binary Information Press.


Gao R.,Chinese National Engineering Research Center for Information Technology in Agriculture | Gao R.,Key Laboratory for Information Technologies in Agriculture | Wu H.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wu H.,Key Laboratory for Information Technologies in Agriculture
Proceedings - 2010 WASE International Conference on Information Engineering, ICIE 2010 | Year: 2010

Illumination makes an important role in realistic graphics rendering, especially in the mixed-scene rendering based on the geometric models and images. Adjusting illumination effect is a key step to achieve realistic scene when the images are inconsistent with the virtual environment. Therefore, complicated processing is required to generate the image with desired illumination condition. Using the technology of model rendering pipeline based on GPU, this paper presents a hue method to generate consistent ambient illumination between image and geometric models in a mixed-scene without specular and shadow. With this method, we can render the novel image under different ambient lights, and need not a lot of image data. © 2010 IEEE.


Gao R.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wu H.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wu H.,Key Laboratory for Information Technologies in Agriculture | Ma H.,Chinese National Engineering Research Center for Information Technology in Agriculture
Advances in Intelligent and Soft Computing | Year: 2012

At present, construction of a rural scene must rely on professional and technical personnel and professional three-dimensional mapping software. Therefore, it needs a great deal time, energy and devotion to construct a complicated scene. This paper builds a rural scene component library with rural new properties, and gets real-time external terrain data with rural mapping assistant equipment. It can build a rural three-dimensional scene graph quickly through an interactive way and using an organization technique of resource list-style. According to experimental results, comparing to the traditional modeling software, this method in this paper is out standing for its simple functions, friendly interaction, short development cycle and favorable commonality. © 2012 Springer-Verlag GmbH.


Wang R.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wang R.,Key Laboratory for Information Technologies in Agriculture | Zhao C.,Chinese National Engineering Research Center for Information Technology in Agriculture | Zhao C.,Key Laboratory for Information Technologies in Agriculture | And 2 more authors.
International Journal of Digital Content Technology and its Applications | Year: 2012

In traditional cam-shift algorithm, the phenomenon of missing tracked target often occurs because of occlusion or too fast speed. To solve the problem, our method improves the tracking effect by retargeting search window based on frame-difference method when tracked target is missed during video surveillance. Experiments proved the effectiveness of our method.


Zhao C.,Chinese National Engineering Research Center for Information Technology in Agriculture | Wu H.,Chinese National Engineering Research Center for Information Technology in Agriculture | Gao R.,Key Laboratory for Information Technologies in Agriculture
Applied Mathematics and Information Sciences | Year: 2012

Many complex detail objects in the village virtual scene are important to the photo-realistic rendering technology. Bump mapping, normal mapping and parallax mapping have a capability to represent the realistic rendering by disturbing normal vector or shifting the texture coordinates along the view direction. However, an incorrect offset will lead to the sliding phenomenon in the detail rendering. In this paper, a corresponding relation between the offset and the current viewpoint is proposed by establishing mathematics function of the detail image pixel coordinates and the height values. Furthermore, the new pixel offset is calculated by using GPU technology. With GPU technology, sliding phenomenon does not appear when the viewpoint changes. Thus, the detail objects have the realistic effect in village virtual scene. The experimental results demonstrate that this proposed method has achieved better performance in representing the realistic and detail rendering than traditional methods of parallax mapping and texture coordinate offset correction with GPU technology. © 2012 NSP Natural Sciences Publishing Cor.


Yuan L.,Beijing Academy of Agriculture and Forestry Sciences | Yuan L.,Zhejiang University | Zhang J.,Beijing Academy of Agriculture and Forestry Sciences | Zhang J.,Chinese National Engineering Research Center for Information Technology in Agriculture | And 9 more authors.
Remote Sensing | Year: 2014

Powdery mildew, caused by the fungus Blumeria graminis, is a major winter wheat disease in China. Accurate delineation of powdery mildew infestations is necessary for site-specific disease management. In this study, high-resolution multispectral imagery of a 25 km2 typical outbreak site in Shaanxi, China, taken by a newly-launched satellite, SPOT-6, was analyzed for mapping powdery mildew disease. Two regions with high representation were selected for conducting a field survey of powdery mildew. Three supervised classification methods-artificial neural network, mahalanobis distance, and maximum likelihood classifier-were implemented and compared for their performance on disease detection. The accuracy assessment showed that the ANN has the highest overall accuracy of 89%, following by MD and MLC with overall accuracies of 84% and 79%, respectively. These results indicated that the high-resolution multispectral imagery with proper classification techniques incorporated with the field investigation can be a useful tool for mapping powdery mildew in winter wheat. © 2014 by the authors.

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