pandey devendra kumar (11 Ergebnisse)

Zustand: New. In.

Zustand: New. In.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New. Sangeeta Pandey is Assistant Professor at the Amity Institute of Organic Agriculture, Amity University Uttar Pradesh, Noida, India.Durgesh Kumar Tripathi is Assistant Professor at the Amity Institute of Organic Agriculture, Amity University Uttar Pradesh, N.

Zustand: New.

Zustand: New. In.

Buch. Zustand: Neu. Neuware - BENEFICIAL CHEMICAL ELEMENTS OF PLANTSUnderstand beneficial elements and their role in the future of botany and agricultureBeneficial elements are those which, while not essential to plant life, can provide stimulation and enhance plant growth. Properly harnessed, these elements can bolster plant growth in the face of environmental conditions--including drought, nutrient deficiency, and excessive soil salinity--and biotic stresses like pathogens and animal activity. As climate change and population growth pose increasingly serious challenges to agriculture and essential plant production, it has never been more important to unleash the potential of beneficial elements.Beneficial Chemical Elements of Plants is an essential resource for researchers and industry specialists looking to enhance their understanding of these elements and the range and variety of their enhancements to plant growth. Written by leading scholars in the field of plant stress tolerance and nutrient enrichment, it discusses not only the rich possibilities of beneficial elements but their mechanisms of action at both biochemical and molecular levels. It details the precise potential roles played by each major beneficial element and surveys a range of elemental responses to specific environmental conditions and plant stresses.Beneficial Chemical Elements of Plants readers will also find:\* Chapters covering beneficial elements including aluminum, cobalt, sodium, selenium, and silicon\* Discussion of application methods and typical plant responses\* Treatment of beneficial elements in a wider environmental context\* Beneficial element applications to the field of sustainable agricultureBeneficial Chemical Elements of Plants is a fundamental starting point for researchers and students in the fields of plant physiology, crop science, agriculture, and botany, as well as for professionals in the biotechnology and agricultural industries.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. Neuware - Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.