This book delivers a practical blueprint for applying AI, IoT, and advanced analytics to drive measurable ESG outcomes. It covers machine learning, deep learning, generative AI, and fast language models for edge use, with benchmarks like MMLU, GPQA, and MGSM. Step-by-step guides teach ESG IoT model building, neural network fine-tuning, and RAG implementations. Application chapters span IoT-enabled GHG monitoring, methane/rumination tracking with Class 10 sensors, and AI for remote farming. Real-world case studies and deployment pipelines provide innovators, policymakers, and leaders with a cross-disciplinary framework aligned to UN Sustainable Development Goals.
eBook - ePub
Building Next-Gen ESG Platforms with IoT and AI for Sustainable Development Goals
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Building Next-Gen ESG Platforms with IoT and AI for Sustainable Development Goals
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Information
Subtopic
Sustainable DevelopmentIndex
Computer ScienceTable of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication
- Preface
- Acknowledgments
- Contents
- Abbreviations
- Chapter 1 Artificial Intelligence
- Chapter 2 IoT and AI Models
- Chapter 3 Environmental, Social, and Governance (ESG)
- Chapter 4 IoT and Greenhouse Gas (GHG) Emissions Models for Creating Sustainable Communities
- Chapter 5 AI, IoT, and Business Process Automation for Enhanced Productivity, Economic Sustainability, and Reduced Inequalities
- Chapter 6 Next-Gen AI Climate Models Revolutionizing Agricultural Inputs and Boosting Biodiversity
- Index
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Yes, you can access Building Next-Gen ESG Platforms with IoT and AI for Sustainable Development Goals by Chandrasekar Vuppalapati in PDF and/or ePUB format, as well as other popular books in Computer Science & Sustainable Development. We have over 1.5 million books available in our catalogue for you to explore.