https://orcid.org/0000-0001-5031-1665
Figures & data
Figure 1. Model SAS3000 mobile soil sensor
Figure 2. Location of the experimental sites in the fields of six growers. SC, Sayama City; KC, Kawagoe City; TC, Tokorozawa City; MT, Miyoshi Town; G1, 8 fields (total 0.94 ha); G2, 3 fields (0.45 ha); G3, 2 fields (0.41 ha); G4, 7 fields (0.74 ha); G5, 1 field (0.23 ha); G6, 3 fields (0.35 ha)
Figure 3. Distribution of soil texture on 231 field-moist soil samples
Figure 4. Soil sampling at the measurement point of visible and near-infrared soil reflectance spectra
Figure 5. Soil Map Viewer for the SAS3000
Table 1. Correlation coefficients between the response variables and between the regression coefficients of the calibration models.Nc: Number of confirmed correlations (0.40 or higher in grey)
Figure 6. Regression coefficients of SiO, Fe, MC, pH, BSP, Mg, K, CL and C/N that is confirmed positive and negative correlation with PAC.The baseline of each soil property's regression coefficients is shifted, and amplitude was adjusted
Figure 7. Regression coefficients of K, Mg, Zn, S, HR, Ca, P-a, Ca/Mg and C/N that is confirmed positive and negative correlation with Mn.The baseline of each soil property's regression coefficients is shifted, and amplitude was adjusted
Table 2. Results of local calibration models accuracy for 34 soil properties
Figure 8. Soil variability visualization of a field using Soil Map Viewer
