AI Innovations for Transforming Food Production. Este artículo no está disponible.AI Innovations for Transforming Food Production

Artificial Intelligence (AI) revolutionizes the food production industry, offering innovative solutions to meet the global demand for safe, nutritious, and sustainably produced food. From precision agriculture and smart irrigation systems to automated harvesting and supply chain analytics, AI technologies enhance productivity while minimizing environmental impact. Machine learning algorithms enable farmers to make data-driven decisions by predicting crop yields, detecting plant diseases, and optimizing resource usage. AI-driven robotics and sensors improve efficiency and reduce labor costs in farming and food processing. As these innovations evolve, AI may transform the entire food system, making it more resilient, efficient, and capable. AI Innovations for Transforming Food Production explores the revolutionary role AI plays across various aspects of the food industry. It delves into how AI technologies, including machine learning, robotics, and data analytics, transform food production, supply chains, quality control, and sustainability. This book covers topics such as crop yield production, hydroponics, and precision agriculture, and is a useful resource for business owners, engineers, academicians, researchers, and agriculture scientists.

Pawan Whig is an accomplished researcher and academic leader with extensive expertise in VLSI Design, Artificial Intelligence (AI), and Machine Learning (ML). He holds a Doctorate from Jamia Millia Islamia, New Delhi, where his research focused on cutting-edge technological advancements. He also earned a B.Tech in Electronics and Communication Engineering in 2005 and an M.Tech in VLSI in 2008, building a strong foundation for his work in these fields. Dr. Whig currently serves as the Country Head at Threws and is a Research Consultant specializing in Machine Learning. He is also an IEEE Lifetime Member and has made significant contributions to the academic community, including serving as the Dean of Research at VIPS-T. He is Google Certified in Digital Marketing, reflecting his commitment to integrating technological advancements with practical applications. With over 20 years of experience in IT, Dr. Whig has contributed to numerous research projects and publications. He has published over 150 articles in national and international journals and is actively involved as a reviewer for various international journals. His research interests span AI, ML, Analog Signal Processing, Sensor Modeling, and Water Quality Monitoring Applications, with a focus on Simulation and Design. In addition to his research contributions, Dr. Whig is an active member of several professional organizations, including the International Association of Engineers (Hong Kong), ISTE, IEEE, IEI, and the Computer Society of India (CSI). His academic contributions have helped shape the field of AI and ML, and he continues to inspire future generations of engineers and researchers.

Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world.