AI and ML Solutions Driving Modern Farming and Urban Innovation (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)

Satpathy, Suneeta

ISBN 13: 9798898812126

Published by Bentham Science Publishers, 2025

About this Item

Seller Inventory # I-9798898812126

Bibliographic Details

• Title: AI and ML Solutions Driving Modern Farming and Urban Innovation (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)
• Publisher: Bentham Science Publishers
• Publication Date: 2025
• Language: English
• ISBN 13: 9798898812126
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Advancing Intelligence: Exploring Smart Systems and Future Innovations with Machine Learning is a comprehensive volume collection examining how Artificial Intelligence (AI) and Machine Learning (ML) are reshaping industries, societies, and technologies worldwide. Written by global experts, the series combines theoretical foundations with practical applications, showcasing how intelligent systems address pressing challenges across healthcare, agriculture, urban development, business intelligence, and cybersecurity.

Volume 2: Transformative Healthcare Solutions Powered by AI & ML investigates intelligent tools for precision medicine, medical informatics, wearable devices, and patient-centric care, demonstrating how AI enhances diagnosis and treatment outcomes.

Volume 3: AI and ML Solutions Driving Modern Farming and Urban Innovation explores sustainable farming, smart agriculture, environmental monitoring, and intelligent city infrastructures for improved quality of life.

Volume 4: AI-Driven Competitive Intelligence and Next-Generation Security focuses on financial analytics, business intelligence, cybersecurity, and digital forensics, emphasizing strategies for resilience in a data-driven era.

Key Features:

-Integrates AI and ML into healthcare, agriculture, urban, and business systems.
-Applies intelligent tools to improve diagnosis, sustainability, efficiency, and security.
-Analyzes case studies and global perspectives for real-world relevance.
-Explores future-ready innovations shaping intelligent, resilient ecosystems.
-Addresses both societal opportunities and technical challenges of AI adoption.