Computer and Computing Technologies in Agriculture IV: 4th by Qiulan Wu, Yongxiang Sun, Xiaoxia Yang (auth.), Daoliang Li,

By Qiulan Wu, Yongxiang Sun, Xiaoxia Yang (auth.), Daoliang Li, Yande Liu, Yingyi Chen (eds.)

This booklet constitutes half III of the refereed four-volume post-conference court cases of the 4th IFIP TC 12 overseas convention on desktop and Computing applied sciences in Agriculture, CCTA 2010, held in Nanchang, China, in October 2010. The 352 revised papers awarded have been conscientiously chosen from various submissions. They hide a variety of attention-grabbing theories and functions of knowledge know-how in agriculture, together with simulation types and decision-support platforms for agricultural construction, agricultural product caliber checking out, traceability and e-commerce know-how, the applying of data and verbal exchange expertise in agriculture, and common details provider expertise and repair platforms improvement in rural areas.

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Extra info for Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 Conference, CCTA 2010, Nanchang, China, October 22-25, 2010, Selected Papers, Part III

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Handle a 300 × 480 pixel image, time-consuming 15ms. 2) Use density DBSCAN fuzzy clustering algorithm, by means of setting two parameters ε and MinN, in the density DBSCAN fuzzy clustering algorithm, to determine a cluster gather on the each target, by means of judging the existence of the clustering gather or not to determine the target. With the help of image division technology, calculate the area ratio of the target and calculate the need of quantity of spraying. By means of calculating the centre point of each clustering gather(target), realize to control sprayer motion trail, realize accurately targeting and variable rate spraying pesticide Fertilizer when the crop sowing in line at seeding.

Step 3. The pixel connected to Marking pixels add the same tag. Step 4. Connected pixels until all is added tags. Thus, a connection component was added the same tag. Step 5. Back Step1, re-add the tag and find new unmarking pixels, Repeat the steps above. Figure 3 is processed by the regional labeling algorithm, the results as follow: (a) (b) Fig. 3. Regional markers algorithm (a)(b) Not improved region labeling algorithm to generate image (c)(d) Improved region labeling algorithm to generate image Target Recognition for the Automatically Targeting Variable Rate Sprayer (c) 25 (d) Fig.

This paper discuss how to use high-resolution remote sensing image and high precision DEM establish rural 3D visualization. First we restore the position of camera, then use the position of the camera obtain the data of deflection shooting building. In this way we save lots of time, greatly improves the speed of modeling. Acknowledgements This study has been funded by State Bureau of Surveying and Mapping. The project name is the construction and demonstration of village and town comprehensive information service Platform based on spatial data.

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