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Geospatial Technology for Landscape and Environmental Management
Geospatial technology is a combination of state-of-the-art remote sensing and technology for geographic information systems (GIS) and global navigation satellite systems (GNSS) for the mapping and monitoring of landscapes and environment. The main thrust of using geospatial technology is to understand the causes, mechanisms, and consequences of spatial heterogeneity, while its ultimate objective is to provide a scientific basis for developing and maintaining ecologically, economically, and socially sustainable landscapes. This book presents new research on the interdisciplinary applications of geospatial technology for identification, assessment, monitoring, and modelling issues related to l...
Twenty Years of CRC
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Mycorrhiza - Nutrient Uptake, Biocontrol, Ecorestoration
This is the fourth updated and revised edition of a well-received book that emphasises on fungal diversity, plant productivity and sustainability. It contains new chapters written by leading experts in the field. This book is an up-to-date overview of current progress in mycorrhiza and association with plant productivity and environmental sustainability. The result is a must hands-on guide, ideally suited for agri-biotechnology, soil biology, fungal biology including mycorrrhiza and stress management, academia and researchers. The topic of this book is particularly relevant to researchers involved in mycorrhiza, especially to food security, plant microbe interaction and environmental protect...
OMICS
With the advent of new technologies and acquired knowledge, the number of fields in omics and their applications in diverse areas are rapidly increasing in the postgenomics era. Such emerging fields—including pharmacogenomics, toxicogenomics, regulomics, spliceomics, metagenomics, and environomics—present budding solutions to combat global challenges in biomedicine, agriculture, and the environment. OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences provides valuable insights into the applications of modern omics technologies to real-world problems in the life sciences. Filling a gap in the literature, it offers a broad, multidisciplinary view of current and emer...
OMICS Applications in Crop Science
Merging topical data from recently published review and research articles, as well as the knowledge and insight of industry experts, Omics Applications in Crop Science delves into plant science, and various technologies that use omics in agriculture. This book concentrates on crop breeding and environmental applications, and examines the applications of various omics technologies including genomics, transcriptomics, proteomics, metabolomics to important agronomic, horticultural, medicinal, plantation, fiber, forage, and bioenergy crops. It covers the application of omics technologies in several important crops, including cereal, and pulse. It explores the brassica species, drought tolerance ...
The Lychee Biotechnology
This book provides systematic information on the lychee and modern tools to promote its sustainable growth and development. Including dedicated chapters on the evolution and diversification of the lychee, it highlights its genetic makeup and reciprocal exogenous factors, addressing the narrow genetic pool and lack of natural biodiversity. It also discusses issues related to post-harvest losses and robust approaches at the commercial level. Further, the book offers insights on in vitro propagation methods and prospective transgenic approaches for selected lychee cultivars. Chapters on the production of bioactive compounds and their enhancement through genetic transformation and elicitation are also included, reflecting the latest advances in the field of lychee biotechnology. Lastly, the book explores the use of molecular marker techniques to achieve the desired improvements in fruit trees’ medicinal and aesthetic value.
Computational Intelligence and Predictive Analysis for Medical Science
This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.
