Exploring Generative AI for Collaborative Robots in Agriculture 6.0

"This book provides a comprehensive understanding of generative AI and its specific applications in agriculture. It explores the design, functionality, and benefits of collaborative robots in farming environments"-- Provided by publisher.

Dr. C Kishor Kumar Reddy , currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 12 years. He has published more than 90 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 15 edited books. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT

Binju Saju is a distinguished Assistant Professor with over ten years of academic experience, currently teaching at the Adi Shankara Institute of Technology and Engineering in Kalady, India in the Department of AI and Data Science. An expert in Artificial Intelligence, Machine Learning, Image Processing, Generative and Explainable AI. She has a Ph.D. from Christ University, Bangalore. She is a prolific researcher with numerous publications and patents, and she actively mentors students in research and patent writing. With a strong foundation in Artificial Intelligence and a passion for education, Dr. Saju is dedicated to advancing knowledge and fostering innovation in her field.

Asegul Hulus serves as an assistant professor while also being recognised as a fellow of the Higher Education Academy (FHEA). She is a distinguished researcher and author specialising in the field of computing. She holds memberships in esteemed organisations, including the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), among others. Additionally, she possesses skills in graphic design, video editing, audio production, and video game proficiency. Dr Hulus serves as a chair, chief editor, and peer reviewer for numerous journals, conferences, and publication houses. Furthermore, she holds a prominent position as one of the founding leaders in her field. Finally, she serves as a mentor for the Women4Cyber Foundation and holds various leadership positions in professional computing committees, such as the Association for Computing Machinery's Council on Women in Computing (ACM-W).

Prof. Dr. Tatjana Sibalija (BSc, MSc, PhD in Mechanical Engineering, from Faculty of Mechanical Engineering, University of Belgrade) is Full Professor at the Faculty of Computing, Union University, Belgrade. Her research interest includes artificial intelligence, data science, manufacturing and industrial engineering, process modelling, design and optimisation. She is the editor of 3 books; author of 6 books, 12 book chapters, 130+ papers published in peer-reviewed international journals / presented at refereed international conferences (h-index=20, i10-index=30), including several invited keynote speeches. She has served as a chair of many conference sessions, a member of 50+ scientific program committees of international conferences, a member of the editorial board and guest editor of several international scientific journals. She has been awarded eight awards and honours. Since 2009, she has been appointed FP7 / Horizon 2020 / Horizon Europe (EU Research Framework Programmes) expert / advisor on the projects review, selection and progress monitoring

Haïfa Nakouri is a Machine Learning specialist and currently holds the Invited Professor of Computer Science position at the University of Quebec at Chicoutimi (UQAC). She is also an Assistant Professor in Business Computing at the Higher School of Digital Economy, University of Manouba, Tunisia. Dr. Nakouri obtained her Business Computing Bachelor, M.Sc., and PhD degrees from the Higher Institute of Management, University of Tunis, Tunisia (ISG Tunis) in 2007, 2009, and 2016, respectively. She is associated with the LARODEC laboratory at ISG Tunis and focuses on research topics such as Machine learning, Responsible/Secure AI, Computer Vision, and Image Processing. Her developed expertise in analyzing the vulnerabilities and shortcomings of Machine Learning models and designing solutions to enhance their resilience. Dr. Nakouri is a member of the UQAC Cybersecurity Research Chair, where she collaborates with experts in the field to advance knowledge in learning model security. She is actively involved in various international research projects and collaborations and has published over 25 research papers. Additionally, she has contributed to Program Committees, Organizing Committees, and chaired several reputable international conferences and workshops.