Venkateswarlu ch (10 Ergebnisse)

Hardcover. Zustand: As New. 1st Edition. Contents: Foreword. Preface. 1. Introduction. 2. Natural resources and agricultural productivity. 3. Natural resources management : Key issues and concerns. 4. Resource management technologies for sustaining productivity. 5. Integrated farming systems approach for sustaining agricultural productivity. 6. Conclusions. References. Annexure. Subject Index. Natural resources like land, water and biodiversity are the key to sustain agricultural productivity. Growing pressure of intensive agriculture and other non-farm enterprises on natural resources like soil and water is leading to their degradation, threatening the food security and ecosystem stability. A comprehensive understanding of the natural resources endowment of the country and its scientific management is a key to sustain agriculture and livestock productivity. This volume gives a comprehensive coverage of the status of natural resources and its efficient management its role in food production and meeting other needs like fodder, fuel wood, fibre, etc. The book has been prepared as a treatise with extensive illustrations and basic data with a national perspective. The unique features of the volume are the comprehensive coverage of the latest information from leading ICAR research Institutes and State Agricultural Universities of the country. The strategies for efficient management of soil fertility, conservation of soil and water, coping with climate on-farm water management in irrigated and rainfed production systems are covered in detail. The last chapter on integrated farming systems links the scientific utilization of natural resources to total farm productivity. The authors of the book are from leading institutes of the ICAR and are well known researchers in their field. It is hoped that this book will be useful to researchers, teachers, students, NGOs and all other readers interested to learn about natural resources management and its role in sustainable agriculture.…

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Kartoniert / Broschiert. Zustand: New. Presents various classical, stochastic, evolutionary, and artificial intelligence optimization algorithms for the benefit of the audience in different domains Outlines design, analysis, and implementation of optimization strategies to solv.

Zustand: New. Describes various classical and advanced versions of mechanistic model based state estimation algorithms Describes various data-driven model based state estimation techniques Highlights a number of real applications of mechanistic.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Describes various advanced controllers for the control of complex nonlinear processesProvides the fundamentals, algorithms, approaches, control strategies, and implementation procedures systematicallyHighlights the significance and.

Taschenbuch. Zustand: Neu. Neuware - Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines.…

Taschenbuch. Zustand: Neu. Neuware - Advances in Process Control with Real Applications presents various advanced controllers, including the formulation, design, and implementation of various advanced control strategies for a wide variety of processes. These strategies include generalized predictive control with and without constraints; linear and nonlinear model predictive control; dynamic matrix control; nonlinear control, such as generic model control, globally linearizing control, and nonlinear internal model control; optimal and optimizing control; inferential control; intelligent control based on fuzzy reasoning and neural networks; and controllers based on stochastic and evolutionary optimization.This book will be highly beneficial to students, researchers, and industry professionals working in process design, process monitoring, process systems engineering, process operations and control, and related areas.…