DESIGN OF AN IN-SITU SOIL TEXTURE CLASSIFICATION SYSTEM USING IMAGE PROCESSING
Soil texture has an important influence on agriculture such as crop selection, movement of nutrient and water, soil electrical conductivity, and crop growth. Conventionally, soil texture has been determined in the laboratory using pipette and hydrometer methods requiring significant amount of time, labor, and cost. Recently, in-situ soil texture classification systems using optical diffuse reflectometry or mechanical resistance have been reported, especially for precision agriculture that needs more data than conventional agriculture. This paper is a part of overall research to develop an in-situ soil texture classification system using image processing. Issues investigated in this study were effects of sensor travel speed, effects of light source and intensity on image quality, and potential of soil texture classification algorithm using RGB values of soil surface image. When travel speed of image sensor increased from 0 to 10 mm/s, travel distance and number of pixel were increased to 3.30 mm and 9.4, respectively. This travel distances were not negligible even at a speed of 0.2 mm/s (i.e., 0.66 mm and 1.4), and image degradation was significant. Tests for effects of illumination intensity showed that 7 to 11 Lux seemed a good condition minimizing shade and reflection. When soil water content increased, illumination intensity should be greater to compensate decrease in brightness. When 5％-merged soil texture fractions were linear regressed to RGB average values, coefficients of determination were 0.95 for sand and silt contents. Results of the paper would be useful for construction, test, and application of the sensor.
Precision Agriculture Soil Sensor Soil Tezture Image Processing
Ki-Hyun Cho Taemin Kim In-Kyu Jung Young-Ki Hong Ki-Yuol Jung Young-Chang Chang Sun-Ok Chung
Chungnam National University,Daejeon,Republic of Korea NASA Ames Research Center,Moffett Field,CA,USA National Academy of Agricultural Science,Suwon,Republic of Korea National Academy of Crop Science,Milyang,Republic of Korea Konkuk University,Chungju,Republic of Korea
国际会议
北京
英文
1-9
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）