Peer Review Request - Conducting Proposal Review
Background and Purpose: The primary objective of this book is to explore and elucidate the transformative impact of emerging digital technologies such as Artificial Intelligence and the Internet of Things on modern agriculture. By investigating the principles and applications of Agriculture 4.0, this book aims to provide a comprehensive understanding of how these technologies are driving a new era of smart farming. The book will delve into how AI and IoT are revolutionizing traditional agricultural practices by enabling precision farming, optimizing resource management, enhancing crop yield predictions, and ensuring sustainability. It will address the technological innovations, their real-world applications, challenges, and future potential to guide researchers, policymakers, and industry professionals in adopting and advancing smart farming practices.
Abstract/Proposal Summary: The primary objective of this book is to explore and elucidate the transformative impact of emerging digital technologies such as Artificial Intelligence and the Internet of Things on modern agriculture. By investigating the principles and applications of Agriculture 4.0, this book aims to provide a comprehensive understanding of how these technologies are driving a new era of smart farming. The book will delve into how AI and IoT are revolutionizing traditional agricultural practices by enabling precision farming, optimizing resource management, enhancing crop yield predictions, and ensuring sustainability. It will address the technological innovations, their real-world applications, challenges, and future potential to guide researchers, policymakers, and industry professionals in adopting and advancing smart farming practices. The chapters are not limited to: 1. Introduction to Agriculture 4.0: The Evolution of Farming Technologies 2. The Role of Artificial Intelligence in Modern Farming 3. Internet of Things (IoT) in Agriculture: Connectivity and Real-Time Data 4. Precision Agriculture: Enhancing Efficiency with AI and IoT 5. Data-Driven Decision Making in Agriculture 6. Machine Learning Applications in Smart Farming 7. Smart Irrigation Systems: IoT and AI for Water Management 8. Robotics and Automation in Agriculture 9. Blockchain Technology for Transparent and Secure Agricultural Supply Chains 10. Remote Sensing and Drone Technology in Agriculture 11. Sustainable Farming Practices Enabled by Digital Technologies 12. Smart Greenhouses: Controlled Environment Agriculture with AI and IoT 13. Livestock Management with IoT and AI 14. Challenges and Barriers to Implementing Agriculture 4.0 15. Cyber security in Smart Agriculture: Protecting Data and Systems 16. Case Studies of Agriculture 4.0 in Action 17. Regulatory and Ethical Considerations in Smart Agriculture 18. Training and Skill Development for Agriculture 4.0 19. The Future of Agriculture 4.0: Trends and Innovations 20. Concluding Thoughts: Embracing the Digital Revolution in Agriculture
Table of Contents: 1. A Technical Review on Plant Leaf Disease Identification and Predictions by using Computer Vision Techniques
2. Tomato Harvest Maintenance System using IoT Sensor and Machine Learning Techniques
3.Fusion of Machine Learning Models for Potato Leaf Disease Recognition and Prediction
4. An Intelligent Tomato Plant Leaf Prediction and Recognition using Optimized CNN Model
5. PLD 16-Net Model: A Fine-tuned Plant Leaf Disease Identification and Recognition Model using Deep Learning Techniques
6. Insect Pest Classification and Predictions in Different field of Crops using Deep CNN Model
7. Advanced IoT and Artificial Intelligence Integrated Solution for Automated Fig Fruit Harvest Monitoring and Maintenance Systems
8. Advanced IoT and Deep Learning-Based Pest Control System for Real-Time Maize Crop Protection
9. Precision Agriculture: Enhancing Rice Leaf Disease Classification and Prediction with a Custom Convolutional Neural Networks
10. An Artificial Intelligence - IoT based Smart Poultry Farm Prototype for Indian Farming Sector
11. An IoT and Deep Learning based Real-Time Smart Framing of Maize Crop Drought Management System
12. Sensing Crop Nutrition Health: Deep Learning with IoT for Optimal Nutrient Management and Crop Advisory
Foreword: The primary objective of this book is to explore and elucidate the transformative impact of emerging digital technologies such as Artificial Intelligence and the Internet of Things on modern agriculture. By investigating the principles and applications of Agriculture 4.0, this book aims to provide a comprehensive understanding of how these technologies are driving a new era of smart farming. The book will delve into how AI and IoT are revolutionizing traditional agricultural practices by enabling precision farming, optimizing resource management, enhancing crop yield predictions, and ensuring sustainability. It will address the technological innovations, their real-world applications, challenges, and future potential to guide researchers, policymakers, and industry professionals in adopting and advancing smart farming practices.