Skip to main content
SpringerLink
Log in

Computer Vision based Identification and Mosaic of Gramineous Grass Seeds

  • Book
  • © 2021

Overview

Authors:
  1. Xin Pan

    1. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Xuanhe Zhao

    1. Inner Mongolia Agricultural University, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Weihong Yan

    1. Grassland Research Institute, Chinese Academy of Agricultural Sciences, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  4. Jiangping Liu

    1. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  5. Xiaoling Luo

    1. Inner Mongolia Agricultural University, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  6. Tana Wuyun

    1. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Assists readers to solve the traditional problems of pratacultural science through computer science
  • Focuses on intrinsic feature extraction of easily acquired common grass images instead of remote sensing images
  • Realizes auto recognition of forage and microscope images mosaic by new application of artificial intelligence
  • Inspires more investigators to get involved into the work of grassland digitization based on computer vision

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 1-10

  3. Forage Identification and Experimental Materials

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 11-21

  4. Identification of Gramineous Grass Seeds Using Gabor and Locality Preserving Projections

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 23-37

  5. Identification of Gramineous Grass Seeds Using Difference of Local Fractal Dimensions

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 39-47

  6. Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Linear Discriminant Analysis

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 49-62

  7. Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Gray Level Co-occurrence Matrix

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 63-68

  8. Microscopic Image Mosaic of Gramineous Grass Seeds

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 69-79

  9. Digital Information Platform of Grassland and Forage Based on Computer Vision

    • Xin Pan, Xuanhe Zhao, Weihong Yan, Jiangping Liu, Xiaoling Luo, Tana Wuyun
    Pages 81-91

  10. Back Matter

    Pages 93-128
    Download chapter PDF
Back to top

Keywords

About this book

This book mainly deals with grassland digitalization and recognition through computer vision, which will make contributions to implement of grass auto recognition and data acquisition. Taking advantage of computer vision, it focuses on intrinsic feature extraction to realize the functions such as auto recognition of forage seeds and microscope images mosaic. The book presents a new approach for identification of grass seeds, with clear figures and detailed tables. It enlightens reader by solving the traditional problems of pratacultural science through the aid of computer science.

Authors and Affiliations

  • College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    Xin Pan, Jiangping Liu

  • Inner Mongolia Agricultural University, Inner Mongolia, China

    Xuanhe Zhao, Xiaoling Luo

  • Grassland Research Institute, Chinese Academy of Agricultural Sciences, Inner Mongolia, China

    Weihong Yan

  • College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    Tana Wuyun

About the authors

Dr. Xin Pan is a Professor of College of Computer and Information Engineering, Inner Mongolia Agricultural University. She received her Ph.D. in signal and information processing from Beijing Jiaotong University in 2009. Then she carried out her postdoctoral researches in Grassland Research Institute of Chinese Academy of Agricultural Sciences from 2010-2014. Dr. Pan Xin’s research interest is image processing and pattern recognition. Her work focuses on solving the traditional problems of pratacultural science by the means of computer vision. She has published more than 30 papers, and is a member of professional organizations of China Institute of Communications and Chinese Grassland Society. Her research is an initial effort in the research of grassland digitization based on computer vision, especially focus on identification and mosaic of gramineous grass seeds, which provides a new approach for automated data acquisition of grassland. 

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation