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.

Foreword

- Pp. i
Shu Hu
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Preface

- Pp. ii
Suneeta Satpathy, Sachi Nandan Mohanty, Subhendu Kumar Pani
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List of Contributors

- Pp. iii-v (3)

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A Review on Paddy Plant Disease Detection Using Various Machine Learning and Deep Learning Algorithms

- Pp. 1-15 (15)
Pokkuluri Kiran Sree*, A. L. Kalyani

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Review on an Intelligent System for Quality Evaluation of Dry Fruits Using Hyperspectral Imaging

- Pp. 16-41 (26)
Shweta Bhelonde*, Manoj B. Chandak

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Deep Learning Fusion: Potato Leaf Disease Classification through Generative Diffusion Model

- Pp. 42-53 (12)
Virendra Kumar Shrivastava*, Prakruthi Ganiga, Rathnakar Achary, Chetan J. Shelke, A. Ezil Sam Leni, Ramalakshmi K.

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Fuzzification for Precision Farming with Minimal Human Intervention

- Pp. 54-65 (12)
Sudheer Mangalampalli*, Ganesh Reddy Karri, Pelluru Pavan Kumar Reddy, Ramith Yadav S., K. Varada Rajkumar, Kiran Sree Pokkuluri

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Enhancing Feedforward Neural Network Optimizer Variants to Strengthen Aquaponics Fish Growth Predictions

- Pp. 66-80 (15)
Safiya Begam, W. Aisha Banu*, Sharon Priya

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Predicting Carbon Dioxide Emissions from Green Waste Composting and Identifying Key Factors Using Machine Learning Algorithms

- Pp. 81-92 (12)
M. Vaishali*, M. Monika, M. Atish, S. Rajarshi

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Can Ethiopian Cooperative Coffee Farmers Predict Financial Management Decisions Through Human Capital and AI Mediation?

- Pp. 93-107 (15)
Mershaye Birhane, Shashi kant*, Brehanu Borji, Chalchisa Amentie

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Smart Cities: Urban Planning and Infrastructure Management

- Pp. 108-125 (18)
Aanchal Chaudhary, Harsh Kumar Pandey, Ayush Yadav, Vaibhav Kumar Singh, Nishant Singh, Hitesh Mohapatra*

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Next-Generation Urban Mobility Management: A Framework for Intelligent Traffic Control

- Pp. 126-141 (16)
Sujithra Thandapani*, Durai Selvaraj, Mohamed Iqbal M., D. Jaganathan, V. C. Bharathi

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Predicting Customer Churn in the Telecom Industry with Machine Learning Techniques for Improved Retention Strategies

- Pp. 142-152 (11)
Smital Anandrao Patil, Rushi Patel, Swati Shukla*, Yeswanth Satya Prasad, Yagnesh Challagundla

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A Water Quality Prediction and Assessment Model using Machine Learning Classifiers

- Pp. 153-168 (16)
M. Vaishali*, M. Monika, M. Atish, Lalitha

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Synapsys – A Tool for Effective Video Summarization

- Pp. 169-179 (11)
S. Divya Meena, B. V. Chandrahaas, C. Sai Janakiram, J. L. B. Krishna, M. Rushane, J. Sheela*

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HDFS: The Backbone of Big Data - A Review of High Availability, Scalability, and Performance Using Quorum Journal Manager and Dynamic Federated Metadata Management

- Pp. 180-195 (16)
Bhagavathi Santos Kumar, Virendra Kumar Shrivastava*

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Optimized Gold Price Prediction Using Particle Swarm Optimization-Enhanced LSTM Networks

- Pp. 196-205 (10)
Alladi Vennela, Radha Mohan Pattanayak*

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Subject Index

- Pp. 206-210 (5)
Suneeta Satpathy, Sachi Nandan Mohanty, Subhendu Kumar Pani
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