Grain particle size in image analysis : the development project of mobile forest soil analyzer
Saito, Motoki (2020)
Saito, Motoki
2020
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202002182540
https://urn.fi/URN:NBN:fi:amk-202002182540
Tiivistelmä
This thesis explores the image analysis of forest soil, supported by LUKE and DEMOLA. Heavy forestry vehicles have been facing mobility issues in weak soil. Ruts, which are created by those vehicles in the wet condition, contain a certain amount of clay, fine fraction, and moisture. Thesis aims at designing affordable and simple processes of soil image analysis to determine clay contents and gain particle distribution of clay, silt and sand in soil samples. Grain images are captured by a smartphone camera, and the result is compared with images from a microscope in imageJ since a microscope is designed for capturing microscopic images.
Hence, three research questions are created: Q1. Can grain particle such as clay, silt and sand be identified by use of the images? Q2. What standardized process can be gone through the image analysis of grain particle? Q3. Can we find out the minimum specification of smartphone camera to capture grain particle? By answering those, the possibility of image analysis in soil science is recognized.
Hence, three research questions are created: Q1. Can grain particle such as clay, silt and sand be identified by use of the images? Q2. What standardized process can be gone through the image analysis of grain particle? Q3. Can we find out the minimum specification of smartphone camera to capture grain particle? By answering those, the possibility of image analysis in soil science is recognized.