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A Bharathi

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2022-2026, suosituimpien joukossa Biodynamic Farming. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

Mukana myös kirjoitusasut: A. Bharathi

3 kirjaa

Kirjojen julkaisuhaarukka 2022-2026.

Biodynamic Farming

Biodynamic Farming

M. Ramanjineyulu; Mude Ashok Naik; S.N. Abhilash Naik; A. Bharathi; Singireddy Prabhu Mitra Reddy; Sibbala Yoshitha; Deepika J.; Marati Sainath Rao

TAYLOR FRANCIS LTD
2026
sidottu
This book examines biodynamic farming with focus on principles, history, and international status. Chapters address biodynamic preparations and their application for soil health and fertility management. It discusses influence of lunar and astrological rhythms on planting calendars and cultivation practices, livestock integration, cropping systems, and certification standards in biodynamic agriculture, and also: Examines principles and concepts of biodynamic farming with comparison to conventional and organic farming methods. Addresses biodynamic preparations and application techniques for soil health and fertility management in agricultural systems. Discusses influence of lunar and astrological rhythms on planting calendars and cultivation practices in biodynamic agriculture. Covers livestock integration, cropping systems, and certification standards for biodynamic farming operations. Explores economic considerations, market opportunities, and challenges associated with biodynamic farming practices. This title has been co-published with Content Vibes. T&F does not sell or distribute the print editions in Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri lanka.
Advanced Intelligent Predictive Models for Urban Transportation

Advanced Intelligent Predictive Models for Urban Transportation

R. Sathiyaraj; A Bharathi; Balamurugan Balusamy

TAYLOR FRANCIS LTD
2024
nidottu
The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments.Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT.This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.
Advanced Intelligent Predictive Models for Urban Transportation

Advanced Intelligent Predictive Models for Urban Transportation

R. Sathiyaraj; A Bharathi; Balamurugan Balusamy

TAYLOR FRANCIS LTD
2022
sidottu
The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments.Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT.This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.