selvan m (141 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. pp. 56.

Condizione: Neuf.

Condizione: Neuf.

Condizione: Neuf.

Condizione: New.

Paperback. Condizione: Brand New. 212 pages. French language. 9.45x6.10x0.48 inches. In Stock.

Condizione: New. In.

Hardcover. Condizione: New. Contents: 1. Introduction of Plant Propagation. 2. Nursery Site Selection, Layout and Design. 3. Types of Nursery. 4. Growing Media. 5. Plant Containers, Nursery Tools and Implements. 6. Plant Propagation Structures. 7. Potting and Repotting. 8. Seed Dormancy. 9. Polyembryony, Apomixes, Chimeras and Bud Sport. 10. Anatomy of Stem and Root. 11. Anatomical and Physiological Basis of Root Formation. 12. Irrigation Water Quality. 13. Plant Growth Regulators in Propagation. 14. Propagation Techniques. 15. Nursery Plant Health Management. 16. Portray or Plug Nursery. 17. Fruit Crops. 18. Vegetable Crops. 19. Spices. 20. Plantation Crops. 21. Flower Crops. 22. Ornamental Plants. 23. Medicinal and Aromatic Crops. 24. Lawn. 25. Forest Trees. 26. Guidelines for Nursery Stock Management and Accreditation. Glossary. References. The Book entitled "Principles and Practices of Plant Propagation and Nursery Management" is primarily intended to fulfil the need of the B.Sc. (Hons.) Horticulture degree and B.Sc. (Hons.) Agriculture degree programmes offered in different universities across the country. The book consists of 26 chapters covering all basic and applied aspects of propagation of major horticultural crops as well as nursery management. This book in the first treatise of plant propagation and nursery techniques as per the syllabus prescribed by the fifth Dean's committee of higher Agricultural Education in India. The author are optimistic that this book will serve as a textbook as well as practical guide to both the students of horticulture and agriculture as well as the extension workers, nursery men and all others associated with production of quality planting materials of horticultural crops.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New.

Taschenbuch. Condizione: Neu. FPGA BASED BATTERY ENERGY STORAGE SYSTEM USING SOLAR CELLS | VLSI SYSTEM DESIGN | Thamarai Selvan M (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203582987 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Peri-Implantitis: Current Concepts and Clinical Strategies is a comprehensive textbook presents an in-depth exploration of peri-implantitis, a complex inflammatory condition threatening the long-term success of dental implants. It integrates the latest scientific evidence with clinical insights, covering etiology, diagnosis, risk factors, and a spectrum of treatment modalities designed for postgraduate students, clinicians, and researchers. This book serves as a valuable guide to understanding and managing peri-implant complications through evidence-based and patient-centered strategies.

Condizione: New.

Condizione: New.

Condizione: New.

Buch. Condizione: Neu. Neuware - Peri-Implantitis: Current Concepts and Clinical Strategies is a comprehensive textbook presents an in-depth exploration of peri-implantitis, a complex inflammatory condition threatening the long-term success of dental implants. It integrates the latest scientific evidence with clinical insights, covering etiology, diagnosis, risk factors, and a spectrum of treatment modalities designed for postgraduate students, clinicians, and researchers. This book serves as a valuable guide to understanding and managing peri-implant complications through evidence-based and patient-centered strategies.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

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

Condizione: new.

Hardcover. Condizione: new. Hardcover. This book deep dives into the theoretical background of bioacoustics, signal processing techniques, feature extraction and pattern recognition algorithms, and technically advanced case studies in bioacoustics AI. By exploring the intricate characteristics of bioacoustic signals, this book offers a comprehensive understanding of the underlying principles and practical implementations. The fundamental chapters provide readers the basics by discussing the statistical and deterministic models of bioacoustic signals, including parametric and non-parametric approaches, time-frequency representations, and stochastic processes. Furthermore, this book delves into the complexities of bioacoustic signal generation and propagation, considering physiological factors, acoustic media, and signal degradation. The feature engineering methodology upon the complex and noisy sound data is understood and explored using advanced signal processing techniques, such as wavelet transforms, matching pursuit, higher-order statistics, and fractal analysis. The subsequent chapters focus on feature engineering and pattern recognition. The feature extraction methods under subject of discussion include time-domain, frequency-domain, and time-frequency features, as well as statistical and structural features. The advanced techniques related to deep learning such as convolutional neural networks and recurrent neural networks are also explored. Traditional classification techniques, including statistical pattern recognition and syntactic pattern recognition, are covered, followed by a deep dive into the application of deep learning for bioacoustic classification. The later chapters detail on the futuristic topics such as bioacoustic localization, source separation, change detection, and monitoring. The bioacoustic data collected with other sensor modalities are significant in the development of bioacoustic indices. This book leads the assessment techniques to determine the quality of ecosystem and its performance. Furthermore, the application of bioacoustic AI in man-machine interaction is examined. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This book deep dives into the theoretical background of bioacoustics, signal processing techniques, feature extraction and pattern recognition algorithms, and technically advanced case studies in bioacoustics AI. By exploring the intricate characteristics of bioacoustic signals, this book offers a comprehensive understanding of the underlying principles and practical implementations. The fundamental chapters provide readers the basics by discussing the statistical and deterministic models of bioacoustic signals, including parametric and non-parametric approaches, time-frequency representations, and stochastic processes. Furthermore, this book delves into the complexities of bioacoustic signal generation and propagation, considering physiological factors, acoustic media, and signal degradation. The feature engineering methodology upon the complex and noisy sound data is understood and explored using advanced signal processing techniques, such as wavelet transforms, matching pursuit, higher-order statistics, and fractal analysis. The subsequent chapters focus on feature engineering and pattern recognition. The feature extraction methods under subject of discussion include time-domain, frequency-domain, and time-frequency features, as well as statistical and structural features. The advanced techniques related to deep learning such as convolutional neural networks and recurrent neural networks are also explored. Traditional classification techniques, including statistical pattern recognition and syntactic pattern recognition, are covered, followed by a deep dive into the application of deep learning for bioacoustic classification. The later chapters detail on the futuristic topics such as bioacoustic localization, source separation, change detection, and monitoring. The bioacoustic data collected with other sensor modalities are significant in the development of bioacoustic indices. This book leads the assessment techniques to determine the quality of ecosystem and its performance. Furthermore, the application of bioacoustic AI in man-machine interaction is examined. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New.

Hardcover. Condizione: new. Hardcover. This book deep dives into the theoretical background of bioacoustics, signal processing techniques, feature extraction and pattern recognition algorithms, and technically advanced case studies in bioacoustics AI. By exploring the intricate characteristics of bioacoustic signals, this book offers a comprehensive understanding of the underlying principles and practical implementations. The fundamental chapters provide readers the basics by discussing the statistical and deterministic models of bioacoustic signals, including parametric and non-parametric approaches, time-frequency representations, and stochastic processes. Furthermore, this book delves into the complexities of bioacoustic signal generation and propagation, considering physiological factors, acoustic media, and signal degradation. The feature engineering methodology upon the complex and noisy sound data is understood and explored using advanced signal processing techniques, such as wavelet transforms, matching pursuit, higher-order statistics, and fractal analysis. The subsequent chapters focus on feature engineering and pattern recognition. The feature extraction methods under subject of discussion include time-domain, frequency-domain, and time-frequency features, as well as statistical and structural features. The advanced techniques related to deep learning such as convolutional neural networks and recurrent neural networks are also explored. Traditional classification techniques, including statistical pattern recognition and syntactic pattern recognition, are covered, followed by a deep dive into the application of deep learning for bioacoustic classification. The later chapters detail on the futuristic topics such as bioacoustic localization, source separation, change detection, and monitoring. The bioacoustic data collected with other sensor modalities are significant in the development of bioacoustic indices. This book leads the assessment techniques to determine the quality of ecosystem and its performance. Furthermore, the application of bioacoustic AI in man-machine interaction is examined. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New.