Revolutionizing Sustainable Food Production With Quantum Computing (Paperback)

Revolutionizing sustainable food production with quantum computing represents an intersection of advanced technology and global food security. As the demand for sustainable agriculture increases due to population growth, climate change, and resource constraints, traditional computing methods often fall short in handling agricultural systems. Quantum computing, with its ability to process datasets and solve optimization problems, offers transformative potential. From modeling crop genetics and predicting climate impacts to optimizing supply chains and resource use, quantum computing can reveal solutions that drive efficiency, resilience, and sustainability across food production systems. Revolutionizing Sustainable Food Production With Quantum Computing explores the groundbreaking intersection of quantum computing technology and agricultural innovation. It examines how quantum algorithms, simulation capabilities, and optimization techniques can address critical agricultural challenges, from crop genetics and soil management to supply chain efficiency and climate adaptation strategies. This book covers topics such as food science, smart agriculture, and plant breeding, and is a useful resource for agriculturalists, business owners, engineers, academicians, researchers, and food scientists.

Mong-Fong Horng received his B.S., Ms. and Ph.D degrees from National Chiao Tung University and National Cheng Kung University, Taiwan in 1989, 1991 and 2003, respectively. He now is a jointly-appointed professor with the department of Electronics Engineering at National Kaohsiung University of Science and Technology, and Kaohsiung Medical University, Taiwan. He served as the president of Taiwanese Association of Consumer Electronics (TACE), Chair of Tainan Chapter, IEEE Signal Processing Society. His research interest includes Internet of Things, machine learning, computer networks and medical informatics and related industrial cooperation.

Osamah Ibrahim Khalaf received the B.Sc. degree in software engineering from Al-Rafidain University College, Iraq, in 2004, the M.Sc. degree in computer engineering from Belarussian National Technical University, in 2007, and the Ph.D. degree in computer networks from the Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, in 2017. He is a Senior Engineering and a Telecommunications Lecturer with Al-Nahrain University. He has 15 years of university-level teaching experience in computer science and network technology and a strong CV about research activities in computer science and information technology projects. He has overseas work experiences with University in Binary, University in Malaysia, and University Malaysia Pahang. He has many published articles indexed in ISI/Thomson Reuters. He has also participated and presented at numerous international conferences. He has a patent and received several medals and awards due to his innovative work and research activities. He has good skills in software engineering, including experience with.Net, SQL development, database management, mobile applications design, mobile techniques, Java development, android development, IOS mobile development, cloud system and computations, and website design.

Professor Chin-Shiuh Shieh is a distinguished academic and researcher in the field of electronic engineering and computer science, currently serving as a Professor in the Department of Electronic Engineering at National Kaohsiung University of Science and Technology (NKUST), Taiwan. He received his Ph.D. in Computer Science and Engineering from the National Sun Yat-sen University, Taiwan, and has since dedicated his career to pioneering research and teaching in areas including computer networking, wireless communication, information security, computational intelligence, embedded systems, and medical informatics. With a career spanning several decades, Professor Shieh has made significant contributions to both academia and industry. In the past five years alone, he has authored or co-authored 28 journal papers, of which 24 are indexed in SCI (Science Citation Index), and 80 conference papers, encompassing 26 international and 54 domestic conferences. His editorial acumen is evident in his role as editor for two international academic conference proceedings. Professor Shieh has been actively engaged in various research initiatives, participating in 10 Ministry of Science and Technology (MOST) projects, leading five of them. He has also been involved in three Ministry of Education projects, one of which he led, and a campus research project. Furthermore, his strong industry collaboration is reflected in 10 industry-academia cooperation projects, eight of which he led. He has also contributed to one technology transfer authorization. As a recognized figure in the global research community, Professor Shieh is affiliated with four professional societies, and serves as a reviewer for 106 academic journals. He has participated as a committee member for 21 journals and 175 international conferences, underscoring his influence and expertise in his fields of specialization. Among his recent notable publications is the 2024 SCI-indexed paper titled “Open-set recognition in unknown DDoS attacks detection with reciprocal points learning” published in IEEE Access, which highlights his innovative work in cybersecurity and artificial intelligence. He has also played key editorial roles in conferences such as the International Conference on Genetic and Evolutionary Computing (ICGEC) and Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP). His work has earned multiple accolades including Best Paper Awards and Excellent Paper Awards in international conferences. He has co-developed cutting-edge methods in machine learning, optimization algorithms, and adversarial defense mechanisms, particularly in the domain of cybersecurity threats such as DDoS attacks. His academic journey, prolific publication record, leadership in research projects, and commitment to interdisciplinary collaboration have established him as a leading voice in advancing electronic engineering and computing sciences in Taiwan and beyond.

Dr. Vishal Jain currently serves as a Professor and Dean of Accreditation, Statutory Compliances & Institutional Development at the School of Engineering & Technology, Vivekananda Institute of Professional Studies - Technical Campus, New Delhi. His previous roles include Professor at Sharda University, Greater Noida, and Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. In addition to his teaching responsibilities, Dr. Jain has organized numerous conferences, faculty development programs, seminars, hackathons, and activities for both faculty and students. His research interests encompass machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks, and network security.