Agro-biodiversity and Agri-ecosystem Management / / edited by Pavan Kumar, R. S. Tomar, Jahangeer A. Bhat, Manmohan Dobriyal, Meenu Rani

• Record Nr.: UNINA9910584486903321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• ISBN: 9789811909283; 9811909288
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (366 pages)
• Disciplina: 631.58
• Soggetti: Agriculture; Ecology; Agricultural ecology; Agroecology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Section I General -- Chapter 1: Introduction to agro-biodiversity and agri-ecosystem in the 21st century -- Section II Agro Biodiversity Conservation and Challenges -- Chapter 2: An Assessment of Forest Diversity: Challenges and Management -- Chapter 3: Agrobiodiversity, Status, and Conservation Strategies -- Chapter 4: Role of Range grasses in conservation and restoration of biodiversity -- Chapter 5: Molecular approaches in Agro Biodiversity Conservation -- Section III Agri Ecosystem Services and Climate Resilience -- Chapter 6: Carbon Sequestration Potential in Agricultural Systems -- Chapter 7: Inter-Connectivity between Climate Resilience, Climate Change and Adaptability -- Chapter 8: Soil organic carbon and total nitrogen stocks under different land uses in Achanakmaar Amarkantak Biosphere Reserve, India -- Chapter 9: Vegetation Biomass and Carbon Stock Assessment under Different Forest Types of Temperate and Alpine Forest Ecosystem of Western Himalayas -- Section IV Advance Approaches for Agrobiodiversity Conservation and Restoration -- Chapter 10: Molecular approaches in conservation and restoration of agro-biodiversity -- Chapter 11: Adapting Land Degradation and ; Enhancing Ethnic Livelihood Security through Fruit Production: Evidence from Hilly Areas of Bangladesh -- Chapter 12: Restoration and Conservation of Plant Genetic Resources via Molecular Techniques: An Important Measure for Sustainable Agriculture -- Chapter 13: Molecular Approaches in Restoration of Agrobiodiversity -- Chapter 14: Genomics Approaches for Restoration and Conservation of Agro-biodiversity -- Section V Technological Intervention for Agricultural Development -- Chapter 15: Polyhydroxyalkanoates Production in Transgenic Plants: Green Plastics for Better Future & Environmental Sustainability -- Chapter 16: Application of artificial intelligence for the development of sustainable agriculture -- Chapter 17: Information and technology use in agriculture and Livestock development -- Chapter 18: Use of wild edible plants can meet the needs of future generation.
• Sommario/riassunto: This edited book collates latest findings in the field of agro-biodiversity and agri-ecosystem management across the globe through selected case studies. The primary aim of the book is to cover agro-biodiversity and agri-ecosystem advancements in the field of agricultural resource management. The book explores a range of technologies that support sustainable use of resources and facilities, such as Natural Resource Management (NRM), Resource Conservation Technologies (RCTs), Integrated Farming System (IFS), Integrated Crop Management (ICM), Integrated Nutrient Management (INM), use of solar energy, promotion of agro-ecological zone specific agricultural production, application of climate resilient technologies, secondary agricultural practices and post-harvest technologies. Agro-biodiversity and agri-ecosystem not only contributes to overall growth of the economy but also reduces poverty by providing employment and food security to the majority of the population in the continent and thus it is the most inclusive growth sectors of the economy of Asian and African countries. The book is relevant for researchers and policy makes in the field of agriculture, food system research, ecology, agricultural diversification, resource management etc.

Adaptive signal processing : next generation solutions / / [edited by] Tulay Adali, Simon S. Haykin

• Record Nr.: UNINA9910140741803321
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley-IEEE, c2010
• ISBN: 9786612656507; 9781282656505; 1282656503; 9780470575758; 0470575751; 9780470575741; 0470575743
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (428 p.)
• Collana: Adaptive and learning systems for signal processing, communications and control series ; ; 55
• Altri autori (Persone): AdaliTulay; HaykinSimon S. <1931->
• Disciplina: 621.382/2
• Soggetti: Adaptive signal processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Preface -- Contributors -- Chapter 1 Complex-Valued Adaptive Signal Processing -- 1.1 Introduction -- -- 1.2 Preliminaries -- 1.3 Optimization in the Complex Domain -- 1.4 Widely Linear Adaptive Filtering -- 1.5 Nonlinear Adaptive Filtering with Multilayer Perceptrons -- 1.6 Complex Independent Component Analysis -- 1.7 Summary -- 1.8 Acknowledgment -- 1.9 Problems -- References -- Chapter 2 Robust Estimation Techniques for Complex-Valued Random Vectors -- 2.1 Introduction -- 2.2 Statistical Characterization of Complex Random Vectors -- 2.3 Complex Elliptically Symmetric (CES) Distributions -- 2.4 Tools to Compare Estimators -- 2.5 Scatter and Pseudo-Scatter Matrices -- 2.6 Array Processing Examples -- 2.7 MVDR Beamformers Based on M-Estimators -- 2.8 Robust ICA -- 2.9 Conclusion -- 2.10 Problems -- References -- Chapter 3 Turbo Equalization -- 3.1 Introduction -- 3.2 Context -- 3.3 Communication Chain -- 3.4 Turbo Decoder: Overview -- 3.5 Forward-Backward Algorithm -- 3.6 ; Simplified Algorithm: Interference Canceler -- 3.7 Capacity Analysis -- 3.8 Blind Turbo Equalization -- 3.9 Convergence -- 3.10 Multichannel and Multiuser Settings -- 3.11 Concluding Remarks -- 3.12 Problems -- References -- Chapter 4 Subspace Tracking for Signal Processing -- 4.1 Introduction -- 4.2 Linear Algebra Review -- 4.3 Observation Model and Problem Statement -- 4.4 Preliminary Example: Oja's Neuron -- 4.5 Subspace Tracking -- 4.6 Eigenvectors Tracking -- 4.7 Convergence and Performance Analysis Issues -- 4.8 Illustrative Examples -- 4.9 Concluding Remarks -- 4.10 Problems -- References -- Chapter 5 Particle Filtering -- 5.1 Introduction -- 5.2 Motivation for Use of Particle Filtering -- 5.3 The Basic Idea -- 5.4 The Choice of Proposal Distribution and Resampling -- 5.5 Some Particle Filtering Methods -- 5.6 Handling Constant Parameters -- 5.7 Rao-Blackwellization -- 5.8 Prediction -- 5.9 Smoothing -- 5.10 Convergence Issues -- 5.11 Computational Issues and Hardware Implementation -- 5.12 Acknowledgments.; 5.13 Exercises -- References -- Chapter 6 Nonlinear Sequential State Estimation for Solving Pattern-Classification Problems -- 6.1 Introduction -- 6.2 Back-Propagation and Support Vector Machine-Learning Algorithms: Review -- 6.3 Supervised Training Framework of MLPs Using Nonlinear Sequential State Estimation -- 6.4 The Extended Kalman Filter -- 6.5 Experimental Comparison of the Extended Kalman Filtering Algorithm with the Back-Propagation and Support Vector Machine Learning Algorithms -- 6.6 Concluding Remarks -- 6.7 Problems -- References -- Chapter 7 Bandwidth Extension of Telephony Speech -- 7.1 Introduction -- 7.2 Organization of the Chapter -- 7.3 Nonmodel-Based Algorithms for Bandwidth Extension -- 7.4 Basics -- 7.5 Model-Based Algorithms for Bandwidth Extension -- 7.6 Evaluation of Bandwidth Extension Algorithms -- 7.7 Conclusion -- 7.8 Problems -- References -- Index.
• Sommario/riassunto: Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutti