Future of Information and Communication Conference (FICC) 2021
29-30 April 2021
Publication Links
IJACSA
Special Issues
Computing Conference 2021
Intelligent Systems Conference (IntelliSys) 2021
Future Technologies Conference (FTC) 2021
Future of Information and Communication Conference (FICC) 2021
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.021203
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 12, 2013.
Abstract: Method for discrimination between prolate and oblate shapes of leaves based on polarization characteristics is proposed Method for investigation of polarization characteristics of leaves by means of Monte Carlo Ray Tracing: MCRT is also proposed. Validity of the proposed discrimination method is confirmed with MCRT simulations. Also field experiments are conducted. Through field experiments at the tea estates situated in Saga prefecture, a validity of the proposed method is confirmed. Also discrimination between prolate and oblate shapes of leaves is attempted. The results show that the proposed method is valid and discrimination can be performed.
Kohei Arai , “Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras ” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(12), 2013. http://dx.doi.org/10.14569/IJARAI.2013.021203
@article{2013,
title = {Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras
},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.021203},
url = {http://dx.doi.org/10.14569/IJARAI.2013.021203},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {12},
author = {Kohei Arai }
}