This book is an interdisciplinary work that reveals the contemporary sustainability narratives in India within the context of various SDGs. Several case studies are presented, each of which sheds light on the challenges and constraints that are impeding the process of achieving SDGs and investigates potential long-term answers to socio-economic and environmental issues. Through empirical case studies from different parts of India, the book explores the current status of achieving sustainable development goals in India. The volume immensely benefits scientists, researchers, policymakers and practitioners as it offers a thematic and comprehensive understanding of challenges associated with mainstreaming SDGs at national, sub-national, and micro scales in India.

This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. The book begins by establishing a foundation in the fundamentals of microbial ecosystems and AI principles. It elucidates the integration of AI in microbial genomics, demonstrating how advanced algorithms analyze genomic data and contribute to genetic engineering. Bioinformatics and computational microbiology are explored, showcasing AI''s role in predictive modeling and computational tools. The intersection of AI and microbial applications extends to drug discovery, precision agriculture, and pathogen detection. Readers gain insights into AI-driven drug development, the optimization of agricultural practices using microbial biostimulants, and early warning systems for crop diseases. The book highlights AI''s role in microbial biotechnology, elucidating its impact on bioprocessing, fermentation, and other biotechnological applications. Climate-smart agriculture and microbial adaptations to environmental challenges are discussed, emphasizing sustainable practices.

This book caters to a diverse audience including teachers, researchers, microbiologist, computer bioinformaticians, plant and environmental scientists. The book serves as additional reading material for undergraduate and graduate students of computer science, biomedical, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read.

This book is an interdisciplinary work that reveals the contemporary sustainability narratives in India within the context of various SDGs. Several case studies are presented, each of which sheds light on the challenges and constraints that are impeding the process of achieving SDGs and investigates potential long-term answers to socio-economic and environmental issues. Through empirical case studies from different parts of India, the book explores the current status of achieving sustainable development goals in India. The volume immensely benefits scientists, researchers, policymakers and practitioners as it offers a thematic and comprehensive understanding of challenges associated with mainstreaming SDGs at national, sub-national, and micro scales in India.

This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. The book begins by establishing a foundation in the fundamentals of microbial ecosystems and AI principles. It elucidates the integration of AI in microbial genomics, demonstrating how advanced algorithms analyze genomic data and contribute to genetic engineering. Bioinformatics and computational microbiology are explored, showcasing AI''s role in predictive modeling and computational tools. The intersection of AI and microbial applications extends to drug discovery, precision agriculture, and pathogen detection. Readers gain insights into AI-driven drug development, the optimization of agricultural practices using microbial biostimulants, and early warning systems for crop diseases. The book highlights AI''s role in microbial biotechnology, elucidating its impact on bioprocessing, fermentation, and other biotechnological applications. Climate-smart agriculture and microbial adaptations to environmental challenges are discussed, emphasizing sustainable practices.

This book caters to a diverse audience including teachers, researchers, microbiologist, computer bioinformaticians, plant and environmental scientists. The book serves as additional reading material for undergraduate and graduate students of computer science, biomedical, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read.