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Estimating the Amount of Nitrogen in Hairy Vetch on Paddy Fields using Unmaned Aerial Vehicle Imagery
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 Title & Authors
Estimating the Amount of Nitrogen in Hairy Vetch on Paddy Fields using Unmaned Aerial Vehicle Imagery
Lee, Kyung-Do; Na, Sang-Il; Baek, Shin-Chul; Park, Ki-Do; Choi, Jong-Seo; Kim, Suk-Jin; Kim, Hak-Jin; Yun, Hee-Sup; Hong, Suk-Young;
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 Abstract
Remote sensing can be used to provide information about the monitoring of crop situation. This study was conducted to estimate the amount of nitrogen present in paddy fields by measuring the amount of nitrogen in hairy vetch using an UAV (Unmaned Aerial Vehicle). NDVIs (Normalized Difference Vegetation Index) were calculated using UAV images obtained from paddy fields in Seocheon on May 2015. There was strong relationship between UAV NDVI and the amount of nitrogen in hairy vetch (). Spatial distribution maps of green manure nitrogen were generated on each paddy field using the nitrogen-vegetation index relations to help farmers determine the amount of N fertilizers added to their rice fields after the application of green manure such as hairy vetch.
 Keywords
UAV;Green Manure;NDVI;Nitrogen;
 Language
English
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 References
1.
Choi K.A., J.H. Lee, and I.P. Lee. 2011. Development of a close-range real-time aerial monitoring system based on a low altitude unmaned air vehicle. Korean Soc. Geo-Spatial Information System. 19(4):21-31.

2.
Cohen, W.B. 1991. Response of vegetation indices to change in three measures of leaf water stress. Photogramm. Eng. Remote Sensing 57(2):195-202.

3.
Gong, H.Y., S.S. Kang, and S.D. Hong. 2011. Estimating of nitrogen uptake and biomass of rice (Oryza Sativa L.) using ground-based remote sensing techniques. Korean J. Soil Sci. Fert. 44(5):779-787. crossref(new window)

4.
Hong, S.Y., Y.H. Kim, E.Y. Choe, Y.S. Zhang, Y.K. Sonn, and C.W. Park, K.H. Jung, B.K. Hyun, S.K. Ha and K.C. Song. 2010. Geographic Information System and Remote Sensing in Soil Science. Korean J. Soil Sci. Fert. 43(5): 684-695.

5.
Jeon, W.T., M.T. Kim, K.Y. Seong, J.K. Lee, I.S. Oh, and S.T. Park. 2008. Changes of soil properties and temperature by green manure under rice-based cropping system. Korean J. Crop Sci. 53(4):413-416.

6.
Kang, S.S., H.C. Jung, S.H. Jeon, and S.D. Hong. 2009. Evaluation of biomasss and nitrogen nutrition of tobacco under sand culture by reflectance indices of ground-based remote sensors. Korean J. Soil Sci. Fert. 42(2):70-78.

7.
Kang, S.S., H.Y. Gong, H.C. Jung, Y.H. Kim, S.Y. Hong, and S.D. Hong. 2010. Evaluation of biomasss and nitrogen status in paddy rice using ground-based remote sensors. Korean J. Soil Sci. Fert. 43(6):954-961.

8.
Kim, C.G., J.H. Seo, H.S. Cho, S.H. Choi, and S.J. Kim. 2002. Effect of hairy vetch as green manure on rice cultivation. Korean J. Soil Sci. Fert. 35(3):169-174.

9.
Kim, M.H., J.C. Shin, and B.W. Lee. 2005. Applicability of vegetation index and SPAD reading to nondestructive diagnosis of rice growth and nitrogen nutrition status. Korean J. Crop Sci. 50(6):369-377.

10.
Kim, M.H., J.D. Fu, and B.W. Lee. 2006. Determining nitrogen topdressing rate at panicle initiation stage of rice based on vegetation index and SPAD reading. Korean J. Crop Sci. 51(5):386-395.

11.
Kim, Y.H and S.Y. Hong. 2008. Estimation of rice grain protein contents using ground optical remote sensors. Korea. J. Remote Sensing. 24(6):551-558.

12.
Lee, H.J., J.S. Lee, and J.H. Seo. 2002. Decomposition and N release of hairy vetch applied as a green manure and its effects on rice yield in paddy field. Korean J. Crop Sci. 47:137-141.

13.
Lyon, J.G., D. Yuan, R.S. Lunetta, and C.D. Elvidge. 1998. A change detection experiment using vegetation indices. Photogramm. Eng. Remote Sensing 64(2):143-150.

14.
Park, S.T., W.T. Jeon, M.T. Kim, K.Y. Sung, J.H. Ku, I.S. Oh, B.K. Lee, Y.H. Yoon, J.K. Lee, K.H. Lee, and J.H. Yu. 2008. Understanding of environmental friendly agriculture and rice production using green manure crops. RDA, NICS. Sammi. Suwon. pp.20-21.

15.
Richardson, A.J. and J.H. Everitt. 1992. Using spectral vegetation indices to estimate rangeland productivity. Geocarto Int. 1:63-77.

16.
Seo, J.H., H.J. Lee, S.J. Kim, and I.B. Hur. 1998. Nitrogen release from hariy vetch(Vicia villosa Roth) residue in relation to different tillages and plant growth stage. Korean J. Soil Sci. Fert. 31(2):137-142.

17.
Seo, J.H., H.J. Lee, and S.J. Kim. 2000. Change of green manure and nitrogen yield of hairy vetch according to seeding date in autumn. Korean J. Crop Sci. 45:400-404.

18.
Seo, J.H. and H.J. Lee. 2008. Mineral nitrogen effects of hairy vetch (Vicia villosa Roth) on Maize (Zea mays L.) by green manure amounts. J. Agron. 7:272-276. crossref(new window)

19.
Swain, K.C., S.J. Thomson, and H.P.W. Jayasuriya. 2010. Adoption of an unmanned helicopter forlow-altitude remote sensing to estimate yield and total biomass of a rice crop. Am. Soc. Agric. Biol. Eng. 53(1):21-27.

20.
Tomas, J.R. and H.W. Gausman. 1977. Leat reflectance vs. leaf chlorophyll and carotenoid concentrations for eight crops. Agron. J. 69:799-802. crossref(new window)