T. P. Singh

R. B. Singh

Dharmaveer Singh

Globally, concerns for the environment and human well-being have increased as results of threats imposed by climate change and disasters, environmental degradation, pollution of natural resources, water scarcity and proliferation of slums. Finding appropriate solutions to these threats and challenges is not simple, as these are generally complex and require state-of-the-art technology to collect, measure, handle and analyse large volumes of varying data sets. However, the recent advances in sensor technology, coupled with the rapid development of computational power, have greatly enhanced our abilities to capture, store and analyse the surrounding physical environment. This book explores diverse dimensions of geo-intelligence (GI) technology in developing a computing framework for location-based, data-integrating earth observation and predictive modelling to address these issues at all levels and scales. The book provides insight into the applications of GI technology in several fields of spatial and social sciences and attempts to bridge the gap between them.

Geo-intelligence for Sustainable Development

Ravi Tomar

Tanupriya Choudhury

Vaclav Skala

Md. Abul Bashar

This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Proceedings of MIDAS 2021

Machine Intelligence and Data Science Applications

Arindam Biswas

Amitava Choudhury

Santanu Kumar Ghosh

This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.

Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT

Smart Agriculture Automation Using Advanced Technologies

Sushil

Anand J. Kulkarni

This book provides a conceptual ‘Flexibility in Resource Management’ framework supported by research/case applications in various related areas. It links and integrates the flexibility aspect with resource management to offer a fresh perspective, since flexibility in different levels of resource management is emerging as a key concern -- a business enterprise needs to have reactive flexibility (as adaptiveness and responsiveness) to cope with the changing and uncertain business environment. It may also endeavor to intentionally create flexibility by way of leadership change, re-engineering, innovation in products and processes, use of information and communication technology, and so on. The selected papers discussing a variety of issues concerning flexibility in resource management, are organized into following four parts: flexibility and innovation; flexibility in organizational management; operations and technology management; and financial and risk management. In addition to addressing the organizational needs of corporate bodies spread across the globe, the book serves as a useful reference resource for a variety of audiences including management students, researchers, business managers, consultants and professional institutes.

Flexibility in Resource Management

T. P. Singh

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