Plant Image Analysis

Plant Image Analysis PDF Author: S Dutta Gupta
Publisher: CRC Press
ISBN: 1466583029
Category : Science
Languages : en
Pages : 398

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Book Description
The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques. Technological advancements now allow image analysis for the nondestructive and objective evaluation of biological objects. This has opened a new window in the field of plant science. Plant Image

Plant Image Analysis

Plant Image Analysis PDF Author: S Dutta Gupta
Publisher: CRC Press
ISBN: 1466583029
Category : Science
Languages : en
Pages : 398

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Book Description
The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques. Technological advancements now allow image analysis for the nondestructive and objective evaluation of biological objects. This has opened a new window in the field of plant science. Plant Image

Intelligent Image Analysis for Plant Phenotyping

Intelligent Image Analysis for Plant Phenotyping PDF Author: Ashok Samal
Publisher: CRC Press
ISBN: 1351709992
Category : Computers
Languages : en
Pages : 347

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Book Description
Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Plant Image Analysis

Plant Image Analysis PDF Author: S Dutta Gupta
Publisher: CRC Press
ISBN: 1466583010
Category : Science
Languages : en
Pages : 422

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Book Description
The application of imaging techniques in plant and agricultural sciences had previously been confined to images obtained through remote sensing techniques. Technological advancements now allow image analysis for the nondestructive and objective evaluation of biological objects. This has opened a new window in the field of plant science. Plant Image Analysis: Fundamentals and Applications introduces the basic concepts of image analysis and discusses various techniques in plant imaging, their applications, and future potential. Several types of imaging techniques are discussed including RGB, hyperspectral, thermal, PRI, chlorophyll fluorescence, ROS, and chromosome imaging. The book also covers the use of these techniques in assessing plant growth, early detection of disease and stress, fruit crop yield, plant chromosome analysis, plant phenotyping, and nutrient status both in vivo and in vitro. The book is an authoritative guide for researchers and those teaching in the fields of stress physiology, precision agriculture, agricultural biotechnology, and cell and developmental biology. Graduate students and professionals using machine vision in plant science will also benefit from this comprehensive resource.

An Instructional Guide for Leaf Color Analysis Using Digital Imaging Software

An Instructional Guide for Leaf Color Analysis Using Digital Imaging Software PDF Author:
Publisher:
ISBN:
Category : Foliar diagnosis
Languages : en
Pages : 38

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Book Description
Digital color analysis has become an increasingly popular and cost-effective method utilized by resource managers and scientists for evaluating foliar nutrition and health in response to environmental stresses. We developed and tested a new method of digital image analysis that uses Scion Image or NIH image public domain software to quantify leaf color. This publication provides instructions for using this software to measure the percentage green and red in leaves, colors of particular importance for the assessment of plant health. Comparisons of results from digital analyses of 326 scanned images of leaves and concurrent spectrophotometric measures of chlorophyll a, chlorophyll b, and anthocyanins verify that image analysis provides a reliable quantitative measure of leaf color and the relative concentrations of underlying plant pigments.

Plant Image Analysis

Plant Image Analysis PDF Author: S. Dutta Gupta
Publisher:
ISBN: 9780429072345
Category : Electronic books
Languages : en
Pages : 385

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Book Description


Assess

Assess PDF Author: Lakhdar Lamari
Publisher:
ISBN: 9780890542965
Category : Image analysis
Languages : en
Pages : 0

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Book Description
Computer program which performs image analysis for measuring the extent of plant diseases.

Plant Analysis

Plant Analysis PDF Author: D Reuter
Publisher: CSIRO PUBLISHING
ISBN: 0643101268
Category : Science
Languages : en
Pages : 585

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Book Description
Plant Analysis: An Interpretation Manual 2nd Edition is an easily accessible compilation of data summarising the range of nutrient concentration limits for crops, pastures, vegetables, fruit trees, vines, ornamentals and forest species. This information is valuable in assessing the effectiveness of fertiliser programs and for monitoring longer term changes in crop nutritional status. New to this edition: *Volume and scope of information accessed from the literature has expanded several-fold. Interpretation criteria for 294 species have been compiled in the tables from more than 1872 published papers. *New chapter on nutrient criteria for forest species. *Includes guidelines for collecting, handling and analysing plant material. An entire chapter is devoted to the identification of nutrient deficiency and toxicity symptoms.

Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition PDF Author: Munish Kumar
Publisher: MDPI
ISBN: 3036517146
Category : Technology & Engineering
Languages : en
Pages : 112

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Book Description
This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Root Methods

Root Methods PDF Author: A.L. Smit
Publisher: Springer Science & Business Media
ISBN: 366204188X
Category : Science
Languages : en
Pages : 590

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Book Description
A comprehensive review of all modern methods for plant root research, both in the field and in the laboratory. It covers the effects of environmental interactions with root growth and function, focussing in particular on the assessment of root distribution and dynamics. It also describes and discusses the processing of root observations, analysis and modelling of root growth and architecture, root-image analysis, computer-assisted tomography and magnetic resonance imaging. Furthermore, a survey of the application of isotope techniques in root physiology is given.

Computer Vision – ECCV 2012

Computer Vision – ECCV 2012 PDF Author: Andrew Fitzgibbon
Publisher: Springer
ISBN: 3642337090
Category : Computers
Languages : en
Pages : 909

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Book Description
The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.