* Affiliate Links
Links on findyourbook.com are so-called affiliate links. If you click on such an affiliate link and buy via this link, findyourbook.com receives a commission from the respective online shop or provider. For you, the price doesn't change.
Microbial Data Intelligence and Computational Techniques for Sustainable Computing
* Affiliate Links
Links on findyourbook.com are so-called affiliate links. If you click on such an affiliate link and buy via this link, findyourbook.com receives a commission from the respective online shop or provider. For you, the price doesn't change.
Naturwissenschaften, Medizin, Informatik, Technik / Mikrobiologie
Description
This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques.
Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
customer reviews
Data Mining, Plant Microbe, Human Microbiome, Computational techniques, Microbial data