Editors: Subhendu Kumar Pani, Suneeta Satpathy, Sachi Nandan Mohanty

Series Title: Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks

AI and ML Solutions Driving Modern Farming and Urban Innovation

Volume 3

eBook: US $89 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $98
Library License: US $356
ISSN: 3029-2255 (Print)
ISSN: 3029-2247 (Online)
ISBN: 979-8-89881-211-9 (Print)
ISBN: 979-8-89881-210-2 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988121021250301

Introduction

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 and 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 4s: 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.

Readership:

Designed for researchers, academicians, graduate students, and professionals in AI, computer science, data science, and engineering, as well as practitioners in healthcare, agriculture, urban planning, business, and cybersecurity seeking actionable insights.

Preface

The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) is reshaping the way societies address some of their most pressing challenges. This volume, AI and ML Solutions Driving Modern Farming and Urban Innovation, brings together a diverse collection of research contributions that highlight how intelligent technologies are transforming both agricultural practices and urban living.

Modern farming today demands precision, efficiency, and sustainability. AI and ML are enabling farmers to optimize crop yields, predict diseases, and manage resources with unprecedented accuracy. Similarly, cities around the world are turning to intelligent systems to tackle complex issues such as waste management, water quality monitoring, traffic congestion, and environmental sustainability. Together, these innovations demonstrate the potential of AI and ML to create smarter, healthier, and more resilient communities.

This volume serves as a platform for scholars, practitioners, and innovators to share advancements, methodologies, and applications that bridge the gap between research and real-world deployment. By showcasing interdisciplinary solutions, it emphasizes the societal, local, and national impacts of intelligent technologies in agriculture and smart city ecosystems.

We hope this collection inspires further exploration and collaboration toward building sustainable futures powered by AI and ML.

Subhendu Kumar Pani
Computer Science & Engineering
Krupajal Engineering College BPUT
Odisha, India

Suneeta Satpathy
Center For Cybersecurity
SoA Deemed to be University, Bhubaneswar
Odisha, India

&

Sachi Nandan Mohanty
School of Computer Science & Engineering
VIT-AP University, Andhra Pradesh
India