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Download Computer and Computing Technologies in Agriculture II, by Võsa T., Nugis E., Vennik K., Meripõld H. (auth.), Daoliang PDF

By Võsa T., Nugis E., Vennik K., Meripõld H. (auth.), Daoliang Li, Chunjiang Zhao (eds.)

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Additional info for Computer and Computing Technologies in Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing, China

Sample text

Experimental information, including latitude, longitude, sowing date, descriptions of the soil series, the number of collected samples, and climate information (Table 1) are all collected from2004 to 2007. Table 1. 2 100% Standard meteorological data with the exception of solar radiation was obtained using DAVIS station from 2004 to 2007. This station provided daily values of the maximum and minimum air temperature (°C), rainfall (mm) and total wind run (m/s). Sunshine hours were gained from China Meteorological data Sharing Service System, and they were converted to daily total radiation (MJ/m2) using the method of dumin Weng (1997).

The results indicated that proper combination of irrigation and fertilization is necessary for efficient use of water and fertilizer. Low fertilizer level with no irrigation and low, moderate or high fertilizer levels with more irrigation volume are generally effective for winter wheat production. Please use the following format when citing this chapter: Shang, S. , 2009, in IFIP International Federation for Information Processing, Volume 293, Computer and Computing Technologies in Agriculture II, Volume 1, eds.

And N. H. Ki. 1996. Autonomous speedsprayer using machine vision and fuzzy logic(Ⅰ) -Graphic simulation-. Journal of Biosystems Engineering 21(2):167-174. (In Korean) Jang, I. , T. H. Kim and M. D. Cho. 1995. Development of unmanned speedsprayer(Ⅰ) Remote Control and induction cable system-. Journal of Biosystems Engineering 20(3):226235. (In Korean) Ki, N. , S. I. Cho and C. H. Choi. 1996. Autonomous speedsprayer using machine vision and fuzzy logic(Ⅱ) -Real operation-. Journal of Biosystems Engineering 21(2):175-181.

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