Computer And Computing Technologies In Agriculture, Volume by Qian Zhang (auth.), Daoliang Li (eds.)

By Qian Zhang (auth.), Daoliang Li (eds.)

International Federation for info Processing

The IFIP sequence publishes cutting-edge ends up in the sciences and applied sciences of data and communique. The scope of the sequence comprises: foundations of computing device technology; software program concept and perform; schooling; computing device functions in expertise; conversation structures; structures modeling and optimization; details platforms; desktops and society; desktops expertise; defense and defense in info processing structures; synthetic intelligence; and human-computer interplay. complaints and post-proceedings of referred overseas meetings in desktop technology and interdisciplinary fields are featured. those effects frequently precede magazine booklet and signify the most up-tp-date examine. The relevant goal of the IFIP sequence is to motivate schooling and the dissemination and alternate of data approximately all elements of computing.

For additional information in regards to the three hundred different books within the IFIP sequence, please stopover at www.springer.com.

For additional info approximately IFIP, please stopover at www.ifip.org.

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Extra resources for Computer And Computing Technologies In Agriculture, Volume II: First IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), Wuyishan, China, August 18-20, 2007

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Dautrebande, Characterization of flood inundated areas and delineation of poor drainage soil using ERS-1 SAR Imagery, Hydrological Process. 1997, 10(1): 1441–1450. Fen Ping, Estimation on flood disaster for lower reaches of reservoir, Journal of Catastrophology, 1995, 10(1): 8–12. F. Fuzzy risk assessment of urban natural hazards, Fuzzy Sets and Systems, 1996, 83(1): 271–282. F. M. Mark, The Extraction of Drainage Networks From Digital Elevation Data, Computer Vision, Graphics and Image Processing, 1984, 28(2): 328–344.

RESULT As found in Fig. 2, with the increment in the levels of threshold, the minor leaf veins became clear and at the same time the edges of some leaf veins became obscure. A B C D F E G Figure 2. Effect of different threshold levels on the binary image quality Note: The threshold levels of photo A-D were set at 85, 90, 95, 100, 105, 110, 115 respectively 758 Yun Kong et al. 99 (Table 1). In addition, the fractal dimension presented a linear increment with the increasing levels of threshold. 8617 (R2 = 1).

Hence, only those losses data in typical areas are collected, then total losses statistic data are deducted from these typical data. Obviously, the result data is not accurate and the losses prediction is unfaithful. In the second type of method, the submerged areas can be clearly seen in the remote sensing satellite images, which can be an accurate guidance for the forecasting procedures. This type of methods has been widely used in recent years for its accuracy and convenience. , 1997). However, the flood flow directions, flood volume and total discharging time is different in each time, it is very difficult to find an accurate method to deduct incoming losses from the past flood losses data.

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