Hyperspectral Imaging in Agriculture, Food and Environment
Overview & Synopsis
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.
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Document Information
| Document Title | Hyperspectral Imaging in Agriculture, Food and Environment |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | machine learning, food safety, visualization, food quality, anova, safety |
| Categories | Open Access Books |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-89030 |
| Original Source Link | Visit Source Page on www.doabooks.org » |