TY - CHAP A1 - Xiaona Li A2 - Ruolan Li A3 - Mengyu Wang A4 - Yaru Liu A5 - Baohua Zhang and Jun Zhou ED1 - Alejandro Isabel Luna Maldonado ED2 - Humberto Rodríguez Fuentes ED3 - Juan Antonio Vidales Contreras Y1 - 2018-08-01 PY - 2018 T1 - Hyperspectral Imaging and Their Applications in the Nondestructive Quality Assessment of Fruits and Vegetables N2 - 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. BT - Hyperspectral Imaging in Agriculture, Food and Environment SP - Ch. 3 UR - https://doi.org/10.5772/intechopen.72250 DO - 10.5772/intechopen.72250 SN - 978-1-78923-291-2 PB - IntechOpen CY - Rijeka Y2 - 2021-05-11 ER -