Transforming Agriculture with Artificial Intelligence

• Utgivningsdatum: 2027-02-16
• Mått: 156 x 234 x undefined mm
• Format: Inbunden
• Språk: Engelska
• Antal sidor: 248
• Förlag: Taylor & Francis Ltd
• ISBN: 9781041094227

• Agronomi och lantbruk
• Databaser
• Systemvetenskap och AI

Saiyed Umer is currently serving as an Assistant Professor in the Department of Computer Science and Engineering Aliah University, Government of West Bengal, Kolkata, India. He was the Research Personnel at Indian Statistical Institute (ISI), Kolkata, India, from November 2012 to April 2017. He received a PhD Degree (En gineering executed in ISI Kolkata) from the Department of Information Technol ogy at Jadavpur University, Kolkata, India, in March 2017. He earned B.Sc. (Hons) degree in Mathematics from Vidyasagar University, India, in 2005 and a Master of Computer Applications from the West Bengal University of Technology, India, in 2008 respectively. Dr Umer received an M. Tech degree from the University of Kalyani, India, in 2012. He has published several papers in peer-reviewed international and scientific journals in the field of Biometric, Affective Computing, Big data research, Business Human Resource Management, and Computational Biology. His research interests include Computer Vision, Machine Learning, Deep Learning, Biometrics, and Business data analytics techniques. He is a life member of the Institution of Engineers (IEI), Indian Science Congress Association (ISCA), and Senior Member of Indian National Academy of Engineering (INAE) India.Ranjeet Kumar Rout is currently serving as Assistant Professor in the Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Formally, he was the Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Srinagar, Hazratbal, India. He received his Ph.D. from the department of Information Technology of Indian Institute of Engineering Science and Technology Shibpur, West Bengal, India. Previously, he earned Post Graduate and bachelor’s degree in computer science and engineering from Biju Patnaik University of Technology, Odisha, India, in 2010 and 2005, respectively. Prior to working at NIT Srinagar, Dr. Ran jeet had research and teaching experience from Amity University Noida, National Institute Technology Jalandhar, and Indian Statistical Institute (ISI) Kolkata, India. His research interests include machine learning, deep learning, visual cryptography, and computational biology. He has published several papers in peer reviewed international and scientific journals in the field of non-linear Boolean functions and computational biology.Ishrat Nazeer has done her B. Tech from University of Kashmir in the year of 2018. Then she did her M. Tech from Lovely professional University in the year 2020. She was the lecturer in the Computer Science and Engineering Department of Government college of engineering and technology from 2020 to 2022. Now she is doing her research in National Institute of Technology, Srinagar, Jammu and Kashmir, India.Kavya Dashora is a pioneering researcher and academic at the Centre for Rural Development and Technology, IIT Delhi, India. She is working at the intersection of nanotechnology, food systems, and sustainability. She is nationally recognized for developing India’s first plant-based egg and her ongoing work on plant-based meats, addressing nutritional security and climate resilience. Her multidisciplinary research spans nano synthesis, nanotoxicity, ligninolytic enzymes, plant metabolites, and blockchain-enabled Agri-value chains. She is a recipient of the UNDP Inno vate4SDG Award and Best Woman Scientist recognition and contributes to national and international platforms including UNDP and major public discourse forums. Dr. Dashora has received several prestigious awards such as the UNDP Innovate4SDG Award, and Best Woman Scientist Award, and continues to contribute significantly to advancing sustainable agricultural technologies aligned with global sustainability goals.

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