By Daoliang Li, Yingyi Chen (eds.)
The two-volume set IFIP AICT 419 and 420 constitutes the refereed post-conference court cases of the seventh IFIP TC five, WG 5.14 overseas convention on desktop and Computing applied sciences in Agriculture, CCTA 2013, held in Beijing, China, in September 2013. The one hundred fifteen revised papers provided have been rigorously chosen from a variety of submissions. They hide a variety of fascinating theories and functions of knowledge expertise in agriculture, together with net of items and cloud computing; simulation types and decision-support structures for agricultural creation; clever sensor, tracking, and regulate know-how; traceability and e-commerce expertise; machine imaginative and prescient, special effects, and digital truth; the applying of data and verbal exchange expertise in agriculture; and common info provider know-how and repair platforms improvement in rural areas.
Read 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 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
Sun and Y. Liang 1) Disease Query The instances of “Disease” class are listed on the left side of visual query interface, and the TextArea is on the right side. 6). Details of the method are as follows: Firstly, the instances list of “Disease” class are realized by using JList. GetOWLNamedClass() is called by the defined owlModel1 to obtain the OWLClass “Disease”, and then getInstances() is called by it to obtain all instances of OWLClass “Disease”, finally, the instances are saved into a collection, iterated, and added into the listModel of JList.
10. OR section Fig. 11. WT section The last section (Fig12) is for user to check the data that user saved before in the dynamic decision interface. User can contrast all the saved optimizing solution and delete useless data, thereby, GDSS helps decision maker to make a wise decision. Greenhouse Irrigation Optimization Decision Support System 21 Fig. 12. OS section 6 Result Analysis and Discussions Generally, the developed GDSS could be used to support greenhouse irrigation management in the northwest arid area of china.
Instance query interface 2) Instance Query Interactive instance query supports query on the instances of classes based on SWRL rule. User can select a property from properties of classes through the “property” JComboBox, and then select a value of the certain property through “value” JComboBox. If the “ ” button is pressed , another property and it’s value can be selected. While user presses the “query” button, the query results are displayed in the TextArea. Details of the method are as follows: Firstly, obtaining properties and corresponding values to generate a string used by SQWRL queries.