Han Zhongzhi

Computer Vision-Based Agriculture Engineering (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book contains 25 chapters divided into six parts. It covers computer vision, image processing, hyperspectral imaging and other related technologies in peanut aflatoxin, peanut and corn quality varieties, carrot and potato quality, as well as pest and disease detection.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 348
• Erscheinungstermin: 16. September 2019
• Englisch
• ISBN-13: 9781000691610
• Artikelnr.: 57931975

Autorenporträt

Han Zhongzhi (1981.6-), Ph. D., Male, Born in Junan County, Shandong Province, China. Full professor of Qingdao Agricultural University, Master's supervisor, 3-level candidate of "1361" talent engineering, head of modern agricultural intelligent equipment innovation team; Chief expert of Qingdao agricultural intelligent equipment expert workstation, Evaluation expert of National Natural Science Foundation and National IOT Special Fund, Intel Certified Visual Computing Engineer, member of International Computer Association (ACM) Expert Committee, Reviewer of many journals such as "Computers and Electronics in Agriculture" and Editorial Committee of "Higher Education Research and Practice". The main research area is computer vision intelligent detection in agricultural products.

Inhaltsangabe

Preface
Author
Chapter 1 Detecting Aflatoxin in Agricultural Products by Hyperspectral
Imaging: A Review
Chapter 2 Aflatoxin Detection by Fluorescence Index and Narrowband Spectra
Based on Hyperspectral Imaging
Chapter 3 Application-Driven Key Wavelength Mining Method for Aflatoxin
Detection Using Hyperspectral Data
Chapter 4 Deep Learning-Based Aflatoxin Detection of Hyperspectral Data
Chapter 5 Pixel-Level Aflatoxin Detection Based on Deep Learning and
Hyperspectral Imaging
Chapter 6 A Method of Detecting Peanut Cultivars and Quality Based on the
Appearance Characteristic Recognition
Chapter 7 Quality Grade Testing of Peanut Based on Image Processing
Chapter 8 Study on Origin Traceability of Peanut Pods Based on Image
Recognition
Chapter 9 Study on the Pedigree Clustering of Peanut Pod's Variety Based on
Image Processing
Chapter 10 Image Features and DUS Testing Traits for Identification and
Pedigree Analysis of Peanut Pod Varieties
Chapter 11 Counting Ear Rows in Maize Using Image Processing Method
Chapter 12 Single-Seed Precise Sowing of Maize Using Computer Simulation
Chapter 13 Identifying Maize Surface and Species by Transfer Learning
Chapter 14 A Carrot Sorting System Using Machine Vision Technique
Chapter 15 A New Automatic Carrot Grading System Based on Computer Vision
Chapter 16 Identifying Carrot Appearance Quality by Transfer Learning
Chapter 17 Grading System of Pear's Appearance Quality Based on Computer
Vision
Chapter 18 Study on Defect Extraction of Pears with Rich Spots and Neural
Network Grading Method
Chapter 19 Food Detection Using Infrared Spectroscopy with k-ICA and k-SVM:
Variety, Brand, Origin, and Adulteration
Chapter 20 Study on Vegetable Seed Electrophoresis Image Classification
Method
Chapter 21 Identifying the Change Process of a Fresh Pepper by Transfer
Learning
Chapter 22 Identifying the Change Process of Fresh Banana by Transfer
Learning
Chapter 23 Pest Recognition Using Transfer Learning
Chapter 24 Using Deep Learning for Image-Based Plant Disease Detection
Chapter 25 Research on the Behavior Trajectory of Ornamental Fish Based on
Computer Vision
Index