Plant image analysis: fundamentals and applications / edited by S. Dutta Gupta and Yasuomi Ibaraki

Incluye bibliografía e índice: páginas 375-385

Preface.. Contributors.. Chapter 1 An Introduction to Images and Image Analysis.. Chapter 2 Image Analysis for Plants: Basic Procedures and Techniques.. Chapter 3 Applications of RGB Color Imaging in Plants.. Chapter 4 RGB Imaging for the Determination of the Nitrogen Content in Plants.. Chapter 5 Sterile Dynamic Measurement of the In Vitro Nitrogen Use Efficiency of Plantlets.. Chapter 6 Noninvasive Measurement of In Vitro Growth of Plantlets by Image Analysis.. Chapter 7 Digital Imaging of Seed Germination.. Chapter 8 Thermal Imaging for Evaluation of Seedling Growth.. Chapter 9 Anatomofunctional Bimodality Imaging for Plant Phenotyping: An Insight Through Depth, Imaging Coupled to Thermal Imaging.. Chapter 10 Chlorophyll Fluorescence Imaging for Plant Health Monitoring.. Chapter 11 PRI Imaging and Image-Based Estimation of Light Intensity Distribution on Plant Canopy Surfaces.. Chapter 12 ROS and NOS Imaging Using Microscopical Techniques.. Chapter 13 Fluorescent ROS Probes in Imaging Leaves.. Chapter 14 Analysis of Root Growth Using Image Analysis.. Chapter 15 Advances in Imaging Methods on Plant Chromosomes.. Chapter 16 Machine Vision in Estimation of Fruit Crop Yield.. Index

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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. eng

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