By Daoliang Li, Yingyi Chen (eds.)
The two-volume set IFIP AICT 419 and 420 constitutes the refereed post-conference complaints of the seventh IFIP TC five, WG 5.14 overseas convention on machine and Computing applied sciences in Agriculture, CCTA 2013, held in Beijing, China, in September 2013. The a hundred and fifteen revised papers awarded have been conscientiously chosen from a number of submissions. They hide quite a lot of attention-grabbing theories and functions of knowledge know-how in agriculture, together with net of items and cloud computing; simulation types and decision-support structures for agricultural construction; shrewdpermanent sensor, tracking, and keep an eye on expertise; traceability and e-commerce know-how; computing device imaginative and prescient, special effects, and digital truth; the appliance of knowledge and verbal exchange know-how in agriculture; and common info carrier know-how and repair platforms improvement in rural areas.
Read Online or Download 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 PDF
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Additional resources 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
The development of knowledge system includes knowledge representation, storage, reasoning, query and so on, in which query and reasoning are the key technologies, through them knowledge can be obtained from ontology . In order to realize pear diseases knowledge query based on reasoning, the query system based on PDDO and SWRL is studied in this paper. 1 Protégé Protégé is a open source ontology editor, which allows user to model ontology. The Protégé platform provides two main ways of modeling ontology via the protégéframes and protégé-owl editors.
Many researches have D. Li and Y. ): CCTA 2013, Part II, IFIP AICT 420, pp. 42–49, 2014. © IFIP International Federation for Information Processing 2014 Estimation of Pig Weight by Machine Vision: A Review 43 proven that there is being significant correlation between animal body sizes and their body weight. Using image analysis and machine vision technology, key sizes or back area of pig could be obtained. Combining with the relation model of body sizes and body weight, pig live weight can be estimated accurately.
Acknowledgment. This work was supported in part by National science and technology support project(2013BAD15B05). It also has been done under the help of the team of the Information engineering. References 1. : The internet of things. Communications Engineer 4(6), 20–25 (2006) 2. : Cloud Computation Applied in the Distributed 3. : Wireless sensor networksurvey. 6 (2008) 4. Chinese Journal of Computers 10 (2011) 5. : BigTablel:A distributedstorage system for structured data. ACM Trans. on Computer Systems 26(2), 1–26 (2008) 6.