초록 close

Using geo-statistical method, yield data of different fields were analyzed to examine their field variability according to examining year, analysis method. Semivariogram and Kriged maps of geo-statistical analysis were used to examine their spatial dependence within a filed. The results obtained were as follows. 1)Descriptive statistical results of the yield showed that the yield and the difference of yield ranged from 100 to 946 kg/10a and from 272 to 653 kg/10a, respectively within a field. The coefficient of variation also ranged from 5.9 to 22.4 %. 2) More than 90 % of yield data were placed between 350 to 850 kg/10a. The results indicated that the grain mass flow sensor should have the measuring range from 0.34 to 0.82 kg/s considering the yields when 4 rows head-feeding combine with 0.8 m/s of working speed was utilized 3) A high spatial dependence was found within paddy field. The Q values ranged from 0.20 to 0.97, and the range of spatial dependence was from 6.9 to 53.3 m. From this result, the rational sampling interval for yield investigation was estimated 6.9 m. 4) Yields within a field between observation years showed considerable variability even if the field was evenly cultivated and managed. To apply precision agriculture in a paddy field, the field test should be continued to build a solid data-base including meteorological data, blight damage and insect damage.