TY  - CHAP
AU  - Yongliang Liu
ED  - Parinya Sanguansat
Y1  - 2012-03-07
PY  - 2012
T1  - Principal Component Analysis in the Development of Optical and Imaging Spectroscopic Inspections for Agricultural / Food Safety and Quality
N2  - This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition.
BT  - Principal Component Analysis
SP  - Ch. 7
UR  - https://doi.org/10.5772/38107
DO  - 10.5772/38107
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-27
ER  -