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.
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.
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
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
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