Keywords:
Environmental sciences Mathematics.
;
Image processing Digital techniques.
;
Computer vision.
;
Artificial intelligence.
;
Agriculture.
;
Mathematical Applications in Environmental Science.
;
Computer Imaging, Vision, Pattern Recognition and Graphics.
;
Artificial Intelligence.
;
Agriculture.
Description / Table of Contents:
Introduction -- Forage Identification and Experimental Materials -- Identification of Gramineous Grass Seeds Using Gabor and Locality Preserving Projections -- Identification of Gramineous Grass Seeds Using Difference of Local Fractal Dimensions -- Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Linear Discriminant Analysis -- Identification of Gramineous Grass Seeds Using Local Similarity Pattern and Gray Level Co-occurrence Matrix -- Microscopic Image Mosaic of Gramineous Grass Seeds -- Digital Information Platform of Grassland and Forage Based on Computer Vision.
Abstract:
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.
Type of Medium:
Online Resource
Pages:
IX, 128 p. 90 illus., 78 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789811635014
URL:
https://doi.org/10.1007/978-981-16-3501-4
DOI:
10.1007/978-981-16-3501-4
DDC:
333.7
Language:
English
