Open AccessSoil texture judgment based on digital experimental field
Author(s) -
Jing Wei,
Qiguang Dong,
Zenghui Sun
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/474/3/032032
Subject(s) - soil texture , texture (cosmology) , soil science , consistency (knowledge bases) , particle size distribution , environmental science , soil test , mathematics , mineralogy , particle size , soil water , geology , computer science , artificial intelligence , image (mathematics) , geometry , paleontology
At present, it is very common to use Mastersizer 3000 to detect soil texture, which can be detected by dry method and wet method. In order to distinguish the consistency of the results of the two detection methods, the dry method and the wet method were used to test 8 samples from the pot experiment, and each sample was tested repeatedly for 3 times. The results were averaged. The content of clay ( < 2 μm) and sand (50-2000 μm) in dry method was lower than that in wet method in all samples. The particle size distribution of dry method and wet method was significantly correlated, with a determination coefficient R2 of 0.9222. Therefore, in this project area, the model can be used to simulate the particle size distribution range of wet method and determine the mechanical composition.