This text book is an elaboration about Soil and Water Engineering, especially those which are of Hydrology, Soil and Water Engineering, Irrigation and Drainage Engineering and Micro Irrigation. This book is very helpful for the competitive examination such as NET, JRF, SRF, State Engineering Services etc. There are manifold purposes of writing this book on the subject. Basically, it caters to the needs of the candidates aspiring for competitive examinations, and for the beginners to understand the intricacies of the subject. It is observed that the very name of the subject, Soil and water conservation engineering evokes fear in the minds of the students. The latest trend of education is the teaching through multiple choice questions. The MCQ’s are intended to enable students to prioritise and plan their learning through regular practice. The book contains large number of multiple choice questions on the subject.
This text book is an elaboration about Soil and Water Engineering, especially those which are of Hydrology, Soil and Water Engineering, Irrigation and Drainage Engineering and Micro Irrigation. This book is very helpful for the competitive examination such as NET, JRF, SRF, State Engineering Services etc. There are manifold purposes of writing this book on the subject. Basically, it caters to the needs of the candidates aspiring for competitive examinations, and for the beginners to understand the intricacies of the subject. It is observed that the very name of the subject, Soil and water conservation engineering evokes fear in the minds of the students. The latest trend of education is the teaching through multiple choice questions. The MCQ’s are intended to enable students to prioritise and plan their learning through regular practice. The book contains large number of multiple choice questions on the subject.
This book deals with recent and upcoming technologies of breeding freshwater ornamental fish. It covers in detail areas such as status, breeding techniques, food and health management and marketing of freshwater ornamental fishes. There is a separate chapter on breeding of indigenous freshwater ornamental fishes. Emphasis is given on national and international legislation related to ornamental fish export and import. The book contains a useful chapter on the importance and role of ornamental plants and accessories. Aquarium making, decoration, water quality management and maintenance have also been well explained for hobbyists. This title has been co-published with NIPA. Not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan and Bhutan)
This reference book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, and chlorophyll estimation. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water changes, volume, and vegetation. The book discusses space-borne, airborne, and drone geospatial data. The five sections broadly cover aquatic ecosystem monitoring, vegetation management, advanced modelling practices, and challenges. Key features Covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and brackish Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography, sampling, surveying, phytoplankton assessment and chlorophyll estimation Discusses the application of artificial intelligence, machine learning, data fusion in monitoring aquatic systems Explores the prospects of future Earth observation space missions for aquatic ecosystem monitoring The book is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.
The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation. The book will cover the topics practically to describe network routing simulation using MATLAB tool. It will cover the dimensions’ like Wireless network and WSN simulation using MATLAB, then depict the modeling and simulation of vehicles power network in detail along with considering different case studies. Key features of the book include: Discusses different basics and advanced methodology with their fundamental concepts of exploration and exploitation in NETWORK SIMULATION. Elaborates practice questions and simulations in MATLAB Student-friendly and Concise Useful for UG and PG level research scholar Aimed at Practical approach for network simulation with more programs with step by step comments. Based on the Latest technologies, coverage of wireless simulation and WSN concepts and implementations
Guide covering topics from machine learning, regression models, neural network to tensor flow DESCRIPTION Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it. KEY FEATURES Machine learning in MATLAB using basic concepts and algorithms. Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data. Machine learning workflow for health monitoring. The neural network domain and implementation in MATLAB with explicit explanation of code and results. How predictive model can be improved using MATLAB? MATLAB code for an algorithm implementation, rather than for mathematical formula. Machine learning workflow for health monitoring. WHAT WILL YOU LEARN Pre-requisites to machine learning Finding natural patterns in data Building classification methods Data pre-processing in Python Building regression models Creating neural networks Deep learning WHO THIS BOOK IS FOR The book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time. Table of Contents _1. Ê Ê Pre-requisite to Machine Learning 2. Ê Ê An introduction to Machine Learning 3. Ê Ê Finding Natural Patterns in Data 4. Ê Ê Building Classification Methods 5. Ê Ê Data Pre-Processing in Python 6. Ê Ê Building Regression Models 7. Ê Ê Creating Neural Networks 8. Ê Ê Introduction to Deep Learning
Farm mechanization is a dynamic process as the need and type of machines required continue to undergo a change with the development of agriculture in terms of new crop variety, cropping pattern, input used, availability and shift in power source. Farm machinery is a complex subject and involves several components such as design, development, testing, manufacturing, operation repair and maintenance of tractor and allied farm machinery. This manual on Farm machinery and power aims at imparting practical knowledge and training to the students and research workers with Fifth dean committee syllabus. the students will get first hand practical information on the subject and would become conversant with the fine techniques of conceptual and execution of the control.
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