Intelligent Robots and Drones for Precision Agriculture

Introduction.- Intelligent computing with drones and robotics for Precision Agriculture.- Smart Farming and Precision Agriculture and Its Need in Today's World.- Role of Machine Learning in Smart Farming and Its Applications.- Types of Soil Classification for the Identification of the Right Crop to be Cultivated.- Convergence of IoT, Big Data and Machine Learning for better yield Prediction in Smart Farming.- Soil Classification and Crop Prediction using Machine Learning Techniques.- Artificial Intelligence (AI) - enabled Drone Technology for Smart Farming.- Connected Drones for Smart Farming: The Use Cases and Challenges.- Drones and Robots in Smart Agriculture.- IoT-based Precision Agriculture and Crop Management using Machine Learning Approaches.- Smart Organic Agriculture in Traditional South Indian Based Farming System.- Crop and Fertilizer Recommendation System for Sustainable Agricultural Development.- The Role of Robotics and Drones in Precision Farming using Artificial Intelligence with an Automatic Learning Approach.- Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming.- Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming.- Recent improvements and major challenges in Digitized farming: A review.- A Comprehensive Review on the Internet of Things, 5G network, Drone Technologies for Smart Agriculture.- Internet of Things based Smart Agriculture Advisory System.- Conclusion.

Dr. B. Sundaravadivazhagan is an experienced researcher and educator in the field of Information and Communication Engineering. He has more than 22 years of experience in teaching and research and has earned his Ph.D. in Information and Communication Engineering from Anna University in Chennai in 2016. He is a member of various professional bodies such as IEEE, ISACA, ISTE, and ACM, and has published over 45 research articles in SCI and Scopus journals. He has also served as a resource person, keynote speaker, and advisory committee member in more than 20 international and national conferences. He has received two research grants from the Ministry of Higher Education, Research and Innovation, The Research Council (TRC), Oman. His research interests include IoT, AI and Machine learning, Deep learning, Cloud computing, Networks and security, Wireless networks, and MANET. He is a reputable journal editor and reviewer and also serves on the Doctoral Committee in International CommitteeMember- Amrita University, Bangalore, as well as an Adjunct Faculty in Saveetha School of Engineering, Chennai. In addition to his research publications, he has also authored and edited several books, including "Performance Analysis of Broadcast Schemes in MANET" published by LAMBERT Academic Publishing, Germany and "Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions" published by Apple Academic Press, Exclusive Co-Publishing with CRC press Taylor and Francis Group, USA. He has also proposed and received approval for several upcoming book publications, such as "Deep Learning for Smart Healthcare: Trends, Challenges and Applications" approved by CRC Taylor and Francis Group Publisher, "Demystifying Probability and Statistics for Data Scientists with R" accepted by CRC Taylor and Francis Group, and "The Power of Artificial Intelligence for the Next-Generation Oil & Gas Industry: Envisaging AI-inspired Intelligent Energy Systems &