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Spatial Variability Analysis of Rice Yield and Grain Moisture Contents  

Chung, Ji-Hoon (Dept. of Plant Science, Seoul National University)
Lee, Ho-Jin (Dept. of Plant Science, Seoul National University)
Lee, Seung-Hun (Dept. of Plant Science, Seoul National University)
Yi, Chang-Hwan (Syngenta Korea Ltd.)
Publication Information
KOREAN JOURNAL OF CROP SCIENCE / v.54, no.2, 2009 , pp. 203-209 More about this Journal
Abstract
Yield monitoring is one of a precision agriculture technology that is used most widely. It is spatial variability analysis of yield information that should be attained with yield monitoring system development. This experiment was conducted to evaluate spatial variability of yield and grain moisture content in rice paddy field, and their relationships to rice productivity. It is necessary to minimize sampling interval for accurate yield map making or to control cutting width of rice combine. Considering small rice plots such as $0.2{\sim}0.4$ ha, optimum size of sampling plot was below 15 m more than 5 m in with and length. In variable rate treatment field, average yield was similar, but yield variation was reduced than conventional field. Gap of yield by another plot in same field was bigger than half of average yield than yield variation was significantly big. Therefore yield measuring flow sensor must be able to measure at least 300 kg/10a more than 1000 kg/10a. Variation of moisture content in same field was not big and spatial dependance did not appear greatly. But, variation between different field is appeared difference according to weather circumstance before harvesting. Change of spatial dependence of yield was not big, because of field variation of moisture content is not big.
Keywords
rice yield; yield monitoring; geostatistics; grain moisture contents;
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  • Reference
1 정선옥. 1999. 정밀농업을 위한 GPS 이용기술. 농업기계화연구소 : 217-241
2 Clay, D. E., Carlson C. G., et al., 2001. Cleaning yield data. Unpublished
3 Lee, C. K., J. Yanai, T. Kaho, and T. Kosaki. 2001. Geostatistical analysis of soil chemical properties and rice yield in a paddy field and application to the analysis of yielddetermining factors. Soil Sci. Plant Nutr. 47(2) : 291-301   DOI   ScienceOn
4 Agriculural Primer: The Precision -Farrning Guide for culturists. 1997 John Deere Pubishing Dept.
5 Arslan, S., Inane, F., Gray, J. N., Colvin, T. S., 2000. Grain flow measurements with X-ray techniques. Comput. and Electron. Agric. 26 : 65-80   DOI   ScienceOn
6 Reitz, P., Kutzbach, H.D., 1996. Investigations on a particular yield mapping system for combine harvesters. Comput. and Electron. Agric. 14 : 137-150   DOI   ScienceOn
7 이호진, 정지훈, 서준한, 이승훈, 이창환. 2003. 질소 변량시비가 직파재비 벼 수량에 미치는 영향. 친환경정밀농업연구회지. 2(1): 37-41   PUBMED
8 Isaaks, E. H. and R. M. Srivastava. 1989. An Introduction to Applied Geostatistics. Oxford University Press. New York
9 서준한, 이호진, 정영상, 이승훈, 2002. 수도 포장의 토양 및 수량 지도작성과 변량시비 추천. 친환경정밀농업연구회지, 1(1): 51-60   PUBMED
10 홍석영, 1999. 작물 및 경지관리를 위한 RS 및 GIS 이용기술.정밀농업과 기계기술 전략. 농업기계화연구소 : 187-216
11 Tatsuya Inamura. 1999. Research prospects of precision agriculture in crop science. Special Edition: Technology in the 21st Century precision agriculture. Journal of the Japanese society of agricultural machinery 61(4) : 12-13
12 Blackmore, S. 1998 A yield map primer, 日本機械學會 Seminar 23-37