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Full Description
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.
Contents
Preface. 1. Artificial Intelligence. 2. IoT and AI Models. 3. Environmental, Social, and Governance (ESG). 4. IoT and Greenhouse Gas (GHG) Emissions Models for Creating Sustainable Communities. 5. AI, IoT, and Business Process Automation for Enhanced Productivity, Economic Sustainability, and Reduced Inequalities. 6. Next-Gen AI Climate Models Revolutionizing Agricultural Inputs and Boosting Biodiversity.



