Download Computer and Computing Technologies in Agriculture VI: 6th by Yuechan Shi, Guijun Yang, Haikuan Feng (auth.), Daoliang Li, PDF

By Yuechan Shi, Guijun Yang, Haikuan Feng (auth.), Daoliang Li, Yingyi Chen (eds.)

The two-volume set IFIP AICT 392 and 393 constitutes the refereed post-conference complaints of the sixth IFIP TC five, SIG 5.1 foreign convention on laptop and Computing applied sciences in Agriculture, CCTA 2012, held in Zhangjiajie, China, in October 2012. The 108 revised papers awarded have been rigorously chosen from a number of submissions. They hide quite a lot of fascinating theories and purposes of knowledge expertise in agriculture, together with net of items and cloud computing; simulation versions and decision-support platforms for agricultural creation; shrewdpermanent sensor, tracking, and keep an eye on know-how; traceability and e-commerce know-how; desktop imaginative and prescient, special effects, and digital truth; the applying of data and verbal exchange know-how in agriculture; and common details provider expertise and repair platforms improvement in rural parts. The fifty five papers incorporated within the moment quantity specialize in GIS, GPS, RS, and Precision Farming.

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Additional resources for Computer and Computing Technologies in Agriculture VI: 6th IFIP WG 5.14 International Conference, CCTA 2012, Zhangjiajie, China, October 19-21, 2012, Revised Selected Papers, Part II

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R. R. cn 【 】 Abstract. Objective In order to quantify the nitrogen accumulation and partitioning of protected cultivated tomato plant. Method The field experiments on cultivars and fertilizer were conducted in 2009 and 2010, and cultivars: B1, B2, and B3 were adopted. Result The simulation models of nitrogen accumulation and partitioning for protected cultivated tomato plant were built by analyzing the relationship between partitioning index and product of temperature and light in accordance with the tomato growth characteristics in this paper.

In order to generate isoline and isosurface with Matlab, we should conduct data interpolation and gridding. Matlab command sentences of data interpolation are as follows. 32 W. Zhuang, C. Wang, and X. Wang X=linspace(min(x),max(x),100); Y=linspace(min(y),max(y),100); Linspace is one of the instructions that are used to produce Line vector between two points. Take 100 points from minimum to maximum in the experiments. Matlab command sentences of data gridding are as follows. [X,Y]=meshgrid(X,Y); Z=griddata(x,y,z,X,Y,'linear'); The effect of meshigrid (X,Y) is that conducting a matrix for line vector X and column vector Y, generating a cartesian product space and drawing the frame through two points on the axis.

5 Conclusion and Discussion Identifying crop waterlogging range timely and correctly is essential for field management afterwards, yield prediction and agricultural insurance. Paddy submerged at filling stage will reduce grain plumpness and affect yield evidently on account of depressed photosynthesis and damaged rice embryos. In this study the change regularity of paddy injured growth was analyzed and the sensitive parameters of growth stress were screened. By using the HJ-1/2 CCD images in the former and later periods of waterlogging, the model of identifying the paddy waterlogging range based on change vector analysis (CVA) was developed.

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