Smart Farm Management Systems

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.

• Preface 1. Challenges in Achieving Compatibility While Integrating Agriculture 4.0 Technologies 2. Sustainable Farming in the Digital Ara: AI and IoT Technologies Transforming Agriculture 3. An Intelligent IoT System for Agricultural Waste Management and Green Energy Generation 4. Adaptive Hybrid Segmentation and Attention-Driven Residual ShuffleNet to Enhance the Detection of Tomato Leaf Disease 5. IoT-Powered Cotton Disease Diagnosis: Enhancing Sustainability Through Smart Sensing 6. Smart Agriculture: Early Tomato Leaf Disease Detection Using CNN-Based Deep Learning 7. Performance Analysis of Routing Table Falsification in Mobile RPL-Based Internet of Things 8. Key Privacy Challenges and Security Imperatives for Next-Generation IoT Systems 9. Integrating Data-Driven Decision Making and Statistical Hypothesis Testing in Big Data Analytics for Smart Farming 10. Identifying and Classifying Pests in the Agricultural Sector Using a Metaheuristics Deep Learning Approach 11. Turbidimeter: Design and Development of a Cost-effective Greywater Turbidity Monitoring System Using Arduino Uno to Monitor Water Quality for Irrigation and Reuse 12. Real-Time Surveillance Threat Detection System in Farms: A Review of Technological Advancements 13. Enhancing Customer Support with Contextual, History-Aware, and Multilingual Conversational AI Chatbots for Farming 14. Object Detection and Counting Using the YOLOv8 Algorithm and OpenCV in Smart Farming 15. Smart Agriculture Plant Health Monitoring Using IoT