광반사를 이용한 한국 논 토양 특성 추정 = Research Articles : Information Processing and Interdisciplinary Technology ; Estimation of Korean Paddy Field Soil Properties Using Optical Reflectance

다국어 초록 (Multilingual Abstract)

An optical sensing approach based on diffuse reflectance has shown potential for rapid and reliable on-site estimation of soil properties. Important sensing ranges and the resulting regression models useful for soil property estimation have been reported. In this study, a similar approach was applied to investigate the potential of reflectance sensing in estimating soil properties for Korean paddy fields. Soil cores up to a 65-cm depth were collected from 42 paddy fields representing 14 distinct soil series that account for 74% of the total Korean paddy field area. These were analyzed in the laboratory for several important physical and chemical properties. Using air-dried, sieved soil samples, reflectance data were obtained from 350 to 2500 nm on a 3 nm sampling interval with a laboratory spectrometer. Calibrations were developed using partial least squares (PLS) regression, and wavelength bands important for estimating the measured soil properties were identified. PLS regression provided good estimations of Mg (R2=0.80), Ca (R2=0.77), and total C (R2=0.92); fair estimations of pH, EC, P2O5, K, Na, sand, silt, and clay (R2 = 0.59 to 0.72); and poor estimation of total N. Many wavelengths selected for estimation of the soil properties were identical or similar for multiple soil properties. More important wavelengths were selected in the visible-short NIR range (350-1000 nm) and the long NIR range (1800-2500 nm) than in the intermediate NIR range (1000-1800 nm). These results will be useful for design and application of in-situ close range sensors for paddy field soil properties.

참고문헌 (Reference)

1 이규승, "광반사를 이용한 한국 논 토양 특성센서를 위한 샘플링과 캘리브레이션 요구조건" 한국농업기계학회 33 (33): 260-268, 2008

2 Lee, K.S., "WAVELENGTH IDENTIFICATION AND DIFFUSE REFLECTANCE ESTIMATION FOR SURFACE AND PROFILE SOIL PROPERTIES" AMER SOC AGRICULTURAL BIOLOGICAL ENGINEERS 52 (52): 683-695, 2009

3 Viscarra Rossel, R. A., "Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties" 131 : 59-75, 2006

4 Stenberg, B., "Visible and near infrared spectroscopy in soil science" 107 : 163-215, 2010

5 Williams, P.C, "Variables affecting near-infrared reflectance spectroscopic analysis, In Near-infrared Technology in the Agricultural and Food Industries" American Association of Cereal Chemists 143-167, 1987

6 Mouazen, A.M., "Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer" 80 : 171-183, 2005

7 Morimoto, E., "Soil properties prediction for real-time soil sensor based on neural network. In Automation Technology for Off-Road Equipment" ASAE 425-431, 2004

8 Sudduth, K.A., "Soil organic matter, CEC, and moisture sensing with a portable NIR spectrophotometer" 36 (36): 1571-1582, 1993

9 Hummel, J.W., "Soil moisture and organic matter prediction of surface and subsurface soil using an NIR soil sensor" 32 : 149-165, 2001

10 Islam, K., "Simultaneous estimation of several soil properties by ultra-violet, visible and near-infrared reflectance spectroscopy" 41 : 1101-1114, 2003

11 Krishnan, P., "Reflectance technique for predicting soil organic matter" 44 (44): 1282-1285, 1980

12 Chang, C.W., "Near-infrared reflectance spectroscopy—principal component regression analysis of soil properties" 65 : 480-490, 2001

13 Chang, C.W., "Near-infrared reflectance spectroscopic analysis of soil C and N" 167 (167): 110-116, 2002

14 National Institute of Agricultural Science and Technology, "Methods of Soil and Plant Analysis" Sami Publishing 2000

15 Henderson, T.L., "High dimensional reflectance and analysis of soil organic matter" 56 : 865-872, 1992

16 Sudduth, K.A., "Evaluation of reflectance methods for soil organic matter sensing" 34 (34): 1900-1909, 1991

17 Lee, W.S., "Estimating chemical properties of Florida soils using spectral reflectance" 46 (46): 1443-1453, 2003

18 Shibusawa, S., "A real-time multi-spectral soil sensor: predictability of soil moisture and organic matter content in a small field. In Precision Agriculture: Papers from the Fifth European Conference on Precision Agriculture" Academic Publishers 495-502, 2005