Hyperspectral Imaging in Agriculture, Food and Environment

• Other Authors: Isabel Luna Maldonado, Alejandro (Editor), Rodríguez Fuentes, Humberto (Editor), Antonio Vidales Contreras, Juan (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: IntechOpen 2018
• Subjects: Agricultural science; machine learning, food safety, visualization, food quality, anova, safety
• Online Access: DOAB: download the publication; DOAB: description of the publication

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.