rahul kumar verma (17 Ergebnisse)

Zustand: New.

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Zustand: New. In.

Zustand: New.

Zustand: New. In.

Paperback. Zustand: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of cross-disciplinary research, with contributions addressing all key features of the plant/microbe/ENP nexus in agro-ecosystems. The uptake, transport and transformation of nanoparticles in plants have attracted more and more attention in the past several years. Especially, the impact of Engineered Nanoparticles (ENPs) on bioprocesses; low-, medium- and high-level dose responses in the microbial community of soil; and long-, medium- and short-term exposure responses, particularly microbial nitrogen transformations, are just a few of the aspects involved. Since ENPs are used in many industries, including cosmetics, agriculture, medicine, food technology and waste management, their transport through biogeochemical cycles is an important focus of many studies today.Specifically, ENP-microbe interaction has been analysed with regard to disease treatment for plants; it plays a vital role in disease inhibition by releasing metalions that act through many pathways - e.g. reactive oxygen species (ROS) generation, DNA transformation and disruption of the cell cycle - to stop cell growth in the pathogen. Due to these properties, ENPs are also used as slow release or delayed release pesticides and fungicides, and as carrier systems for growth-promoting hormones. Despite their multiple uses in various industries, the negative effects of ENPs are still a major concern for the scientific community and consumers alike. For example, their transport to various food chains has been reported to have adverse effects. This raises a degree of doubt concerning a rapidly growing scientific field with major applications in many industries.From a sustainable development perspective and particularly to ensure food security in light of the uncertainty accompanying climate change, it is imperative to address this divergence by focusing on the plant/microbe/ENP nexus.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of cross-disciplinary research, with contributions addressing all key features of the plant/microbe/ENP nexus in agro-ecosystems. The uptake, transport and transformation of nanoparticles in plants have attracted more and more attention in the past several years. Especially, the impact of Engineered Nanoparticles (ENPs) on bioprocesses; low-, medium- and high-level dose responses in the microbial community of soil; and long-, medium- and short-term exposure responses, particularly microbial nitrogen transformations, are just a few of the aspects involved. Since ENPs are used in many industries, including cosmetics, agriculture, medicine, food technology and waste management, their transport through biogeochemical cycles is an important focus of many studies today.Specifically, ENP-microbe interaction has been analysed with regard to disease treatment for plants; it plays a vital role in disease inhibition by releasing metalions that act through many pathways - e.g. reactive oxygen species (ROS) generation, DNA transformation and disruption of the cell cycle - to stop cell growth in the pathogen. Due to these properties, ENPs are also used as slow release or delayed release pesticides and fungicides, and as carrier systems for growth-promoting hormones. Despite their multiple uses in various industries, the negative effects of ENPs are still a major concern for the scientific community and consumers alike. For example, their transport to various food chains has been reported to have adverse effects. This raises a degree of doubt concerning a rapidly growing scientific field with major applications in many industries.From a sustainable development perspective and particularly to ensure food security in light of the uncertainty accompanying climate change, it is imperative to address this divergence by focusing on the plant/microbe/ENP nexus.

Taschenbuch. Zustand: Neu. Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems | Understanding the Interaction of Plant, Microbes and Engineered Nano-particles (ENPS) | Pardeep Singh (u. a.) | Taschenbuch | Advances in Science, Technology & Innovation | x | Englisch | 2022 | Springer | EAN 9783030669584 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Genetic diversity in turmeric (Curcuma longa L.) | Rahul Kumar Verma | Taschenbuch | 132 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659477515 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Turmeric (Curcuma longa L.) is one the best known among various taxa of economic, medicinal (anti-cancerous, healing, blood purifier properties), ornamental and cultural importance of the genus Curcuma. India and Thailand with at least 40 species in each area have the highest diversity. Genetic variability in a population can be partitioned into heritable and non-heritable variation with the aid of genetic parameters such as variance, genotypic coefficient of variation, heritability and genetic advance, which serve as a basis for selection of some outstanding genotypes from existing ones. Cluster analysis have proved to be effective methods in grouping turmeric accessions that may facilitate effective utilization of the accession in crop improvement programmes through selection, as conventional breeding is difficult in this crop. Moreover, correlation and path analysis of morphological traits indicated importance of desirable traits for strengthening the turmeric breeding programme for higher rhizome yield.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Rapeseed and mustard is a major oil seed crop of India after groundnut. The chemical fertilizer is the mainstay of agricultural production due to insufficient availability of alternative nutrient source. The organic resources available presently, could meet nearly one-third of total nutrients required to achieve the targeted level of food production. The soils of Indo-Gangetic Plain, are showing signs of fatigue due to falling organic carbon levels and deficiencies of macro, secondary and micro nutrients. The integrated use of organic and inorganic source of nutrient ensures better and sustainable yields. In the light of present investigation it may be concluded that 100% NPK + 5t FYM + 40 kg S ha-1 can be recommended to the farmers for successful cultivation of mustard in addition to improving fertility status viz., N, P, K, S and Zn of soil.

Taschenbuch. Zustand: Neu. Neuware - Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.

Kartoniert / Broschiert. Zustand: New.

Hardcover. Zustand: Brand New. 189 pages. 9.25x6.10x0.63 inches. In Stock.

Kartoniert / Broschiert. Zustand: New.