Smart Farm Management Systems Integrating IoT with Big Data Analytics

Preface

1. Challenges in Achieving Compatibility While Integrating Agriculture 4.0 Technologies

Kapil Vhatkar, Atul B.Kathole, and Vinod V. Kimbahune

2. Sustainable Farming in the Digital Ara: AI and IoT Technologies Transforming Agriculture

Atul B. Kathole, Suvarna Patil, Amita Sanjiv Mirge, and Thangavel Murugan

3. An Intelligent IoT System for Agricultural Waste Management and Green Energy Generation

Suvarna Patil, Atul B. Kathole, Amita Sanjiv Mirge, and Thangavel Murugan

4. Adaptive Hybrid Segmentation and Attention-Driven Residual Shufflenet to Enhance the Detection of Tomato Leaf Disease

Atul B. Kathole, Suvarna Patil, Amita Sanjiv Mirge, and Thangavel Murugan

5. IoT-Powered Cotton Disease Diagnosis: Enhancing Sustainability Through Smart Sensing

Amita Sanjiv Mirge, Suvarna Patil, Atul B. Kathole, and Thangavel Murugan

6. Smart Agriculture: Early Tomato Leaf Disease Detection Using CNN-Based Deep Learning

Harshvardhan Ajit Mohite, Gopal Murlidhar Kadam, Anish Ravindra Jawale, Vaibhav Sanjay Solapure, Atul B. Kathole, and Suvarna Patil

7. Performance Analysis of Routing Table Falsification in Mobile RPL-Based Internet of Things in Smart Farming

Shefali Goel, Vinod Kumar Jain, and Abhishek Verma

8. Key Privacy Challenges and Security Imperatives for Next-Generation IoT Systems in Smart Farms

Atul B. Kathole, Suvarna Patil, Amita Sanjiv Mirge, Advika Atul Kathole, and Thangavel Murugan

9.  Integrating Data-Driven Decision Making and Statistical Hypothesis Testing in Big Data Analytics of Smart Farming

Namita Chawla and Satish Pawar

10. Identify and Classify Pests in the Agricultural Sector Using Metaheuristics Deep Learning Approach

Atul B. Kathole, Suvarna Patil, Amita Sanjiv Mirge, and Deepika Shrikant Kale

11. Turbidimeter: Design and Development of a Cost- effective Greywater Turbidity Monitoring System Using Arduino Uno to Monitor Water Quality for Irrigation and Reuse

Deepa Abin, Paras Sarode, Kushal Kurkure, Omar Khan, Samarth Khadse, Shrikant Kole, and Sarvesh Mali

12. Real-Time Surveillance Threat Detection System in Farms: A Review of Technological Advancements

Atharv Sunil Kulkarni, Deepali Naik, Renuka Kiran Patil, Omkar Jagannath Satardekar, and Vishwajeet Shankar Shinde

13. Enhancing Customer Support with Contextual, History-Aware, and Multilingual Conversational AI Chatbots for Farming

Rugved Adhikari and Dikshendra Sarpate

14. Object Detection and Counting Using YOLOv8 Algorithm and OpenCV in Smart Farming

Vasudha Phaltankar, Madhura Bhagat, and Rutik Dabhade

15. Smart Agriculture Plant Health Monitoring Using IoT

Harshvardhan Ajit Mohite, Gopal Murlidhar Kadam, Anish Ravindra Jawale, Vaibhav Sanjay Solapure, Suvarna Patil, Atul B. Kathole, and Advika Atul Kathole

Index

Biography

Atul B. Kathole, PhD, is serving as an Professor in the Department of Computer Engineering at ADYPU, Pune, India. He earned his MTech and PhD in Computer Science & Engineering and has also completed an MBA (IT). His teaching experience spans over a decade, and his research interests include Internet of Things (IoT), VANETs, network security, deep learning, and federated learning in cloud environments. He holds several patents and has published in areas such as IoT-enabled pest identification, intrusion detection, and cloud load-balancing.

Kapil Netaji Vhatkar, PhD, is an Associate Professor at the Symbiosis Skills and Professional University, Pune, India. He holds a PhD in Computer Engineering from Veermata Jijabai Technological Institute (VJTI), Mumbai. Prior to this, he had roles in industry as a network engineer and in academia for over14 years in teaching and guiding undergraduate students. His research areas are focused on optimization algorithms, resource allocation in cloud computing, deep learning, and networking. He has co-authored a work on IoT-based agriculture, cloud resource scheduling, and virus-host prediction using deep recurrent neural networks.

Vinod V. Kimbahune, PhD, serves as Professor and Head of the Department of Computer Engineering at the Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. His academic credentials include a PhD in Computer Engineering, and he has published extensively in areas such as IoT, artificial intelligence, and machine learning applied to networking and smart systems. As Department Head, he also oversees departmental activities including placements, laboratories, student innovation, and research and industry linkages.

Lalit Kumar Wadhwa, PhD, a seasoned academic, is Professor at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. He completed his bachelor’s in Electronics & Telecommunication Engineering and ME in Electronics Engineering at Government College of Engineering, Pune. He earned his PhD from the Indian Institute of Technology (ISM), Dhanbad, India.  With over 20 years in academia and research, he has authored books, filed patents, and contributed to institutional accreditation and academic policy development. His focus has been on innovative teaching-learning practices, student-centric leadership, and fostering industry-academic collaboration.