Narendra Khatri, PhD, is Assistant Professor of Mechatronics at the Manipal Institute of Technology, India. He previously worked on a project for the Centre of Excellence for Digital Farming Solution for Enhancing Productivity Using Robots, Drones, and AGVs. He has published international journal articles and conference papers and is a peer reviewer for several journals.Ajay Kumar Vyas, PhD, is Associate Professor of Information and Communication Technology at the Adani Institute of Infrastructure Engineering, India. He has published books and research articles and is a certified peer reviewer and an editorial board member of several journals.Celestine Iwendi, PhD, is a visiting Professor with Coal City University, Nigeria, and Associate Professor with the School of Creative Technologies at the University of Bolton, UK. He is also a Fellow of the Higher Education Academy and the Institute of Management Consultants. He is a board member of IEEE, Sweden section.Prasenjit Chatterjee, PhD, a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. A prolific author and editor, he has published many well-cited research papers and more than 35 books. Dr. Chatterjee is Editorin- Chief of the Journal of Decision Analytics and Intelligent Computing and an editor for several book series.

• PART I: AI IN AGRICULTURE 1. Review of Various Technologies Involved in Precision Farming Automation 2. State-of-the-Art Technologies for Crop Health Monitoring in Modern Precision Agriculture 3. Comprehensive Study of Artificial Intelligence Techniques for Early-Stage Disease Identification System in Plants 4. Understanding the Relationship between Normalized Difference Vegetation Index and Meteorological Attribute Using Clustering Algorithm 5. Agricultural Productivity Improvement: Role of AI and Yield Prediction Using Machine Learning PART II: ROBOTIC-BASED INNOVATIONS IN AGRICULTURE 6. Comprehensive Review of Agricultural Robotics: A Post-Covid Perspective of Advanced Robotics with Smart Farming 7. Autonomous Aerial Robot Application for Crop Survey and Mapping 8. Structural Design and Analysis of 6-DOF Cylindrical Robotic Manipulators for Automated Agriculture 9. Robot-Based Weed Identification and Control System 10. Design and Development of a Quadruped Robot for Precision Agriculture Applications 11. Design and Fabrication of a Solar-Powered Bluetooth-Controlled Multi-Purpose Agro Machine PART III: INTELLIGENT COMPUTING IN AGRICULTURE 12. Machine Learning and Deep Learning Methods for Yield Forecasting 13. Supervised Machine Learning for Crop Health Monitoring System 14. Analyzing the Effect of Climate Change on Crop Yield Over Time Using Machine Learning Techniques 15. Deep Learning Techniques for Crop Nutrient Deficiency Detection: A Comprehensive Survey 16. Plant Disease Detection Techniques: A Survey PART IV: IoT IN AGRICULTURE 17. Internet of Things Enabled Precision Agriculture for Sustainable Rural Development 18. Internet of Things: A Growing Trend in India’s Agriculture and Linking Farmers to Modern Technology 19. IoT-Based Condition Monitoring System for Plantation 20. Smart Farming Based on IoT Edge Computing: Applying Machine Learning Models for Disease and Irrigation Water Requirement Prediction in Potato Crop Using Containerized Microservices 21. Smart Sensors for Soil Health Monitoring 22. An IoT-Aided Smart Agritech System for Crop Yield Optimization 23. FATEH: A Novel Framework for Internet of Things based Smart Agriculture Monitoring System

Narendra Khatri, PhD, is Assistant Professor of Mechatronics at the Manipal Institute of Technology, India. He previously worked on a project for the Centre of Excellence for Digital Farming Solution for Enhancing Productivity Using Robots, Drones, and AGVs. He has published international journal articles and conference papers and is a peer reviewer for several journals.Ajay Kumar Vyas, PhD, is Associate Professor of Information and Communication Technology at the Adani Institute of Infrastructure Engineering, India. He has published books and research articles and is a certified peer reviewer and an editorial board member of several journals.Celestine Iwendi, PhD, is a visiting Professor with Coal City University, Nigeria, and Associate Professor with the School of Creative Technologies at the University of Bolton, UK. He is also a Fellow of the Higher Education Academy and the Institute of Management Consultants. He is a board member of IEEE, Sweden section.Prasenjit Chatterjee, PhD, a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. A prolific author and editor, he has published many well-cited research papers and more than 35 books. Dr. Chatterjee is Editorin- Chief of the Journal of Decision Analytics and Intelligent Computing and an editor for several book series.

• PART I: AI IN AGRICULTURE 1. Review of Various Technologies Involved in Precision Farming Automation 2. State-of-the-Art Technologies for Crop Health Monitoring in Modern Precision Agriculture 3. Comprehensive Study of Artificial Intelligence Techniques for Early-Stage Disease Identification System in Plants 4. Understanding the Relationship between Normalized Difference Vegetation Index and Meteorological Attribute Using Clustering Algorithm 5. Agricultural Productivity Improvement: Role of AI and Yield Prediction Using Machine Learning PART II: ROBOTIC-BASED INNOVATIONS IN AGRICULTURE 6. Comprehensive Review of Agricultural Robotics: A Post-Covid Perspective of Advanced Robotics with Smart Farming 7. Autonomous Aerial Robot Application for Crop Survey and Mapping 8. Structural Design and Analysis of 6-DOF Cylindrical Robotic Manipulators for Automated Agriculture 9. Robot-Based Weed Identification and Control System 10. Design and Development of a Quadruped Robot for Precision Agriculture Applications 11. Design and Fabrication of a Solar-Powered Bluetooth-Controlled Multi-Purpose Agro Machine PART III: INTELLIGENT COMPUTING IN AGRICULTURE 12. Machine Learning and Deep Learning Methods for Yield Forecasting 13. Supervised Machine Learning for Crop Health Monitoring System 14. Analyzing the Effect of Climate Change on Crop Yield Over Time Using Machine Learning Techniques 15. Deep Learning Techniques for Crop Nutrient Deficiency Detection: A Comprehensive Survey 16. Plant Disease Detection Techniques: A Survey PART IV: IoT IN AGRICULTURE 17. Internet of Things Enabled Precision Agriculture for Sustainable Rural Development 18. Internet of Things: A Growing Trend in India’s Agriculture and Linking Farmers to Modern Technology 19. IoT-Based Condition Monitoring System for Plantation 20. Smart Farming Based on IoT Edge Computing: Applying Machine Learning Models for Disease and Irrigation Water Requirement Prediction in Potato Crop Using Containerized Microservices 21. Smart Sensors for Soil Health Monitoring 22. An IoT-Aided Smart Agritech System for Crop Yield Optimization 23. FATEH: A Novel Framework for Internet of Things based Smart Agriculture Monitoring System

Narendra Khatri, PhD, is Assistant Professor of Mechatronics at the Manipal Institute of Technology, India. He previously worked on a project for the Centre of Excellence for Digital Farming Solution for Enhancing Productivity Using Robots, Drones, and AGVs. He has published international journal articles and conference papers and is a peer reviewer for several journals.Ajay Kumar Vyas, PhD, is Associate Professor of Information and Communication Technology at the Adani Institute of Infrastructure Engineering, India. He has published books and research articles and is a certified peer reviewer and an editorial board member of several journals.Celestine Iwendi, PhD, is a visiting Professor with Coal City University, Nigeria, and Associate Professor with the School of Creative Technologies at the University of Bolton, UK. He is also a Fellow of the Higher Education Academy and the Institute of Management Consultants. He is a board member of IEEE, Sweden section.Prasenjit Chatterjee, PhD, a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, India. A prolific author and editor, he has published many well-cited research papers and more than 35 books. Dr. Chatterjee is Editorin- Chief of the Journal of Decision Analytics and Intelligent Computing and an editor for several book series.

• PART I: AI IN AGRICULTURE 1. Review of Various Technologies Involved in Precision Farming Automation 2. State-of-the-Art Technologies for Crop Health Monitoring in Modern Precision Agriculture 3. Comprehensive Study of Artificial Intelligence Techniques for Early-Stage Disease Identification System in Plants 4. Understanding the Relationship between Normalized Difference Vegetation Index and Meteorological Attribute Using Clustering Algorithm 5. Agricultural Productivity Improvement: Role of AI and Yield Prediction Using Machine Learning PART II: ROBOTIC-BASED INNOVATIONS IN AGRICULTURE 6. Comprehensive Review of Agricultural Robotics: A Post-Covid Perspective of Advanced Robotics with Smart Farming 7. Autonomous Aerial Robot Application for Crop Survey and Mapping 8. Structural Design and Analysis of 6-DOF Cylindrical Robotic Manipulators for Automated Agriculture 9. Robot-Based Weed Identification and Control System 10. Design and Development of a Quadruped Robot for Precision Agriculture Applications 11. Design and Fabrication of a Solar-Powered Bluetooth-Controlled Multi-Purpose Agro Machine PART III: INTELLIGENT COMPUTING IN AGRICULTURE 12. Machine Learning and Deep Learning Methods for Yield Forecasting 13. Supervised Machine Learning for Crop Health Monitoring System 14. Analyzing the Effect of Climate Change on Crop Yield Over Time Using Machine Learning Techniques 15. Deep Learning Techniques for Crop Nutrient Deficiency Detection: A Comprehensive Survey 16. Plant Disease Detection Techniques: A Survey PART IV: IoT IN AGRICULTURE 17. Internet of Things Enabled Precision Agriculture for Sustainable Rural Development 18. Internet of Things: A Growing Trend in India’s Agriculture and Linking Farmers to Modern Technology 19. IoT-Based Condition Monitoring System for Plantation 20. Smart Farming Based on IoT Edge Computing: Applying Machine Learning Models for Disease and Irrigation Water Requirement Prediction in Potato Crop Using Containerized Microservices 21. Smart Sensors for Soil Health Monitoring 22. An IoT-Aided Smart Agritech System for Crop Yield Optimization 23. FATEH: A Novel Framework for Internet of Things based Smart Agriculture Monitoring System