作者: J. Zhuang , G.R. Yu , K. Nakayama
关键词: Scaling 、 Mathematics 、 Soil science 、 Bulk density 、 Spatial distribution 、 Density estimation 、 Soil horizon 、 Distribution function 、 Botany 、 Mean squared error 、 Exponential function
摘要: Root length density is an important parameter in crop growth simulation and evaluating consequences of root pattern on water nutrient uptake. In this study, a scaling model was presented for estimating the profile distribution maize (Zea mays L.). The inputs are data reference bulk densities soil layers, as well first layer field to be investigated. Using 10 profiles investigated over 2 years, examined. results show that proposed approach effective each profile. relative mean square error (RRMSE) developed 25.28%, while traditional exponential 39.53%. would facilitate determination heterogeneous distributions field.