Computer and Computing Technologies in Agriculture V: 5th by Xuezhen Hong, Jun Wang (auth.), Daoliang Li, Yingyi Chen

By Xuezhen Hong, Jun Wang (auth.), Daoliang Li, Yingyi Chen (eds.)

The three-volume set IFIP AICT 368-370 constitutes the refereed post-conference complaints of the fifth IFIP TC five, SIG 5.1 overseas convention on desktop and Computing applied sciences in Agriculture, CCTA 2011, held in Beijing, China, in October 2011. The 189 revised papers provided have been rigorously chosen from a variety of submissions. They conceal quite a lot of attention-grabbing theories and purposes of knowledge expertise in agriculture, together with simulation versions and decision-support platforms for agricultural creation, agricultural product caliber trying out, traceability and e-commerce know-how, the applying of knowledge and communique know-how in agriculture, and common details provider know-how and repair platforms improvement in rural components. The fifty nine papers integrated within the 3rd quantity concentrate on simulation, optimization, tracking, and keep an eye on technology.

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Additional info for Computer and Computing Technologies in Agriculture V: 5th IFIP TC 5/SIG 5.1 Conference, CCTA 2011, Beijing, China, October 29-31, 2011, Proceedings, Part III

Sample text

The Reflectance at the 950-970nm Region as an Indicator of Plant Water Status. International Journal of Remote Sense 14, 1887–1905 (1993) 12. : Reflectance Indices Indicative of Changes in Water and Pigment Contents of Peanut and Wheat Leaves. Photosynthetica 36(3), 355–360 (1999) 13. : Estimation of Plant Water Concentration by the Reflectance Water Index WI (R900/R970). International Journal of Remote Sense 18, 2869–2872 (1997) 14. : Establishment of Leaf Water Content Models Based on Derivative Spectrum Variables (in Chinese).

All of the authors appreciate the co-operation and support of many experts from the Research Institute of Forest Resource Information Techniques of Chinese Academy of Forestry, and we all would like to thank Professor Liu Qinfu of the College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), for his support with human resources. : Drought monitoring mode based on vegetation index and land surface temperature. : Progress of drought monitoring and the research methods of remote sensing.

Water absorption spectrum has five absorption bands, their central wavelength are located in near 760nm, 970nm, 1145nm, 1450nm and 1940nm. Based on this, the spectral information of this region has been widely used to analyze the water status in plants [3-6]. Several researchers have described relationships between leaf water content and infrared (700-2500nm) reflectance. Tucker [7] considered simulated leaf reflectance along with atmospheric transmission properties, and determined the spectral region between 1550 nm and 1750 nm was best suited for remotely measuring leaf water content.

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