Computer and Computing Technologies in Agriculture VII: 7th by Daoliang Li, Yingyi Chen (eds.)

By Daoliang Li, Yingyi Chen (eds.)

The two-volume set IFIP AICT 419 and 420 constitutes the refereed post-conference lawsuits of the seventh IFIP TC five, WG 5.14 foreign convention on computing device and Computing applied sciences in Agriculture, CCTA 2013, held in Beijing, China, in September 2013. The a hundred and fifteen revised papers provided have been rigorously chosen from a number of submissions. They disguise quite a lot of fascinating theories and functions of data know-how in agriculture, together with web of items and cloud computing; simulation types and decision-support platforms for agricultural construction; shrewdpermanent sensor, tracking, and keep watch over expertise; traceability and e-commerce know-how; laptop imaginative and prescient, special effects, and digital truth; the appliance of knowledge and verbal exchange expertise in agriculture; and common info carrier know-how and repair structures improvement in rural areas.

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Additional info for Computer and Computing Technologies in Agriculture VII: 7th IFIP WG 5.14 International Conference, CCTA 2013, Beijing, China, September 18-20, 2013, Revised Selected Papers, Part II

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Modified owl file Conclusion In this paper, the modeling of PDDO based on SWRL is studied, design and realization techniques of the query system based on PDDO and SWRL are proposed. This query system based on reasoning realizes disease query, instance query, and diagnosis query by using Protégé-Owl API, furthermore, it supports interactive query. Through it pear diseases knowledge can be obtained from PDDO according to user needs, new and inferred knowledge are written to the PDDO owl file. Query results show that the query system based on PDDO and SWRL is practical for users to query information from PDDO.

X, Pear-Rust) Using this syntax, some rules relating to pear diseases diagnosis are created by the SWRL Editor, so that SWRL rules library based on PDDO is built. 3). 3 Reasoning Based on SWRL Rules The SWRL Editor itself does not perform any inference. However, a bridge mechanism is provided to allow interoperation with rule engines [10]. At present, the Jess rule engine is supported, and is accessible through the SWRLJessTab that is a plug-in to the SWRLTab in Protege-OWL. It supports the execution of SWRL rules and provides a graphical interface to interact with the SWRLJessBridge.

On the whole, when pig house is already built, putting the camera on the top of feeder or drinker area is more practical way, automatic feeding station that allowed only one pig enter one time is the idealist way. 2 Light Source Light source is the most essential part of machine vision system. A good light environment not only enhances the contract between foreground and background, and simplify image processing algorithm, but also increases system speed and robustness. In the pig body size detection and body estimation system, light source also plays a very important role.

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