Artificial Intelligence and Data Science for Sustainability : Applications and Methods / edited by Muhammad Syafrudin, Norma Latif Fitriyani, and Muhammad Anshari.

Includes bibliographical references and index.

Table Of Contents -- Title Page -- Copyright Page -- Editorial Advisory Board -- Table of Contents -- Detailed Table of Contents -- Preface -- Chapter 1: Green Technologies -- Chapter 2: Utilizing Artificial Intelligence and Data Science to Mitigate the Impacts of Climate Change -- Chapter 3: AI powered Conservation Transforming Habitat Management for a Sustainable Future -- Chapter 4: The Use of Artificial Intelligence to Curb Deforestation in the Brazilian Rainforest -- Chapter 5: AI and Data Science in Sustainable Agriculture and Food Production -- Chapter 6: Applications of Artificial Intelligence and Data Science in Sustainable Agriculture -- Chapter 7: Leveraging Artificial Intelligence for Sustainable Development in Agriculture -- Chapter 8: Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review -- Chapter 9: Revolutionizing Agriculture With Automated Plant Disease Detection -- Chapter 10: An Enhanced Deep Convolutional Neural Network for Plant Disease Detection and Classification -- Chapter 11: Harnessing Artificial Intelligence and Data Science for Sustainable Water Management and Irrigation -- Chapter 12: Climate Change Impact on Coastal Groundwater Salinity Along the African Coast -- Chapter 13: Using Machine Learning to Categorize the State of Safety of Mines Based on Physical Geographical Features of the Mine Rock -- Compilation of References -- About the Contributors -- Index

The book will bring together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains, such as energy, transportation, agriculture, waste management, urban planning, and environmental protection

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.