Applying Drone Technologies and Robotics for Agricultural Sustainability

Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Pethuru Raj has been working in the Site Reliability Engineering (SRE) Center of Excellence, Reliance Jio Infocomm Ltd. (RJIL), Bangalore. My previous stints are in IBM Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). In total, I have gained more than 17 years of IT industry experience and 8 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, I was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. Published more than 40 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc. Have authored and edited 16 books thus far and focus on some of the emerging technologies such as IoT, Cognitive Analytics, Blockchain, Digital Twin, Docker Containerization, Data Science, Microservices Architecture, fog / edge computing, Artificial intelligence (AI), etc.