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.
"Plant Image Analysis: Fundamentals and Applications is a comprehensive compilation of methods currently used for image analysis of higher plants. The book presents both fundamentals of plant imaging as well as a variety of specific techniques, hence it can be of interest to wide spectrum of plant biologists (PhD students, lecturers, biologists working in agriculture and plant biotechnology).
The book is timely: Plant image analysis is widely used nowadays and there are no such books on the market that are fully dedicated to plant image analysis. There are 16 chapters in this book, covering overall a broad spectrum of fields and techniques…. The chapters are written by experts in the fields. Most of the chapters present a good background and biological relevance.
Overall, this is an excellent book to raise awareness about plant image analysis and can be a useful addition to the library of students, teachers, and biologists interested in the methods and applications of plant imaging."
—Kamil Sklodowski, Federico Apelt, David Breuer, all of the Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany and Tsanko Gechev, University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany
"The present book is worth having for the purpose of teaching and research in Universities/Institutes dealing with emerging areas of plant and agricultural sciences. I believe it will play a pivotal role in providing the necessary impetus for entering into this fascinating field of "Plant Image Analysis" with or without any background of computer vision."
—Toyoki Kozai, Professor Emeritus of Chiba University, Chief Director, Japan Plant Factory Association, Center for Environment, Health and Field Sciences, Chiba University
"S. Dutta Gupta and Yasuomi Ibaraki outlined the broad topic they have addressed. They lead the discussion from the very basic explanation of the concept of imagery through the description of various techniques to the imagery application in plant biology, medicine and agriculture. … the authors provide an in-depth explanation of the matter thus anticipating the wide use of the described material not only by plant professionals but also as a comprehensive teaching tool for graduate and PhD. Students….
The authors made an enormous effort to put all presented information together in a well-thought and structured manner. The color inserts allow readers to get the big understanding of the overall imaging idea in plant analysis, while the specific examples and case studies support and explain in much detail the topic of each chapter, guiding the reader through the pros and cons of each described technique and make this book the valuable source of both theoretical information and practical advice from the pioneers and world-renowned experts."
--- Mykola V. Volkogon, Department of Plant Physiology and Ecology, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine in PE&RS JULY 2016 Public – page 471
An Introduction to Images and Image Analysis; Michael P. Pound and Andrew P. French
Image Analysis for Plants: Basic Procedures and Techniques;Y. Ibaraki and S. Dutta Gupta
Applications of RGB Color Imaging in Plants; S. Dutta Gupta, Yasuomi Ibaraki, and P. Trivedi
RGB Imaging for the Determination of the Nitrogen Content in Plants;Gloria Flor Mata-Donjuan, Adán Mercado-Luna, and Enrique Rico-García
Sterile Dynamic Measurement of the In Vitro Nitrogen Use Efficiency of Plantlets;Yanyou Wuand Kaiyan Zhang
Noninvasive Measurement of In Vitro Growth of Plantlets by Image Analysis;Yanyou Wu and Kaiyan Zhang
Digital Imaging of Seed Germination;Didier Demilly, Sylvie Ducournau, Marie-Hélène Wagner, and Carolyne Dürr
Thermal Imaging for Evaluation of Seedling Growth;Etienne Belin, David Rousseau, Landry Benoit, Didier Demilly, Sylvie Ducournau, François Chapeau-Blondeau, and Carolyne Dürr
Anatomofunctional Bimodality Imaging for Plant Phenotyping: An Insight Through Depth, Imaging Coupled to Thermal Imaging;Yann Chéné, Étienne Belin, François Chapeau-Blondeau, Valérie Caffier, Tristan Boureau, and David Rousseau
Chlorophyll Fluorescence Imaging for Plant Health Monitoring;Kotaro Takayama
PRI Imaging and Image-Based Estimation of Light Intensity Distribution on Plant Canopy Surfaces;Y. Ibaraki and S. Dutta Gupta
ROS and NOS Imaging Using Microscopical Techniques;Nieves Fernandez-Garcia and Enrique Olmos
Fluorescent ROS Probes in Imaging Leaves;Éva Hideg and Ferhan Ayaydin
Analysis of Root Growth Using Image Analysis;Andrew P. French and Michael P. Pound
Advances in Imaging Methods on Plant Chromosomes;Toshiyuki Wako, Seiji Kato, Nobuko Ohmido, and Kiichi Fukui
Machine Vision in Estimation of Fruit Crop Yield;A. Payne and K. Walsh