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B01=J. Adinarayana
B01=Mehul S. Raval
B01=Sanjay Chaudhary
B01=Wei Guo
Category1=Non-Fiction
Category=RNF
Category=TVF
Category=UN
Category=UYQ
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Harnessing Data Science for Sustainable Agriculture and Natural Resource Management

English

This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2zero hunger, 6clean water and sanitation, 12responsible consumption and production, 13climate action, and 15Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.

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Current price €183.34
Original price €192.99
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Age Group_Uncategorizedautomatic-updateB01=J. AdinarayanaB01=Mehul S. RavalB01=Sanjay ChaudharyB01=Wei GuoCategory1=Non-FictionCategory=RNFCategory=TVFCategory=UNCategory=UYQCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 06 Feb 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 06 Feb 2025
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819777617

About

Mehul S Raval Ph.D. is Associate Dean and Professor at the School of Engineering and Applied Science Ahmedabad University India. Earlier he served PDPU Gandhinagar DA-IICT Gandhinagar and SCET Surat. He was Visiting Faculty at SVNIT Surat and VNSG University Surat. His academic pursuits involve visits to the Graduate School of Natural Science and Technology Okayama University Japan Argosy Visiting Associate Professor at Olin College of Engineering MA the US (2016) and Sacred Heart University the US (2019). He is Alumnus of the Electronics & Telecommunication Engineering Department College of Engineering Pune (COEP) and the University of Pune. He has published in journals magazines conferences and workshops on the national and international stage. He is Technical Program Committee Member leading national and international conferences workshops and symposiums. He reviews IEEE ACM Springer Elsevier IET and other leading publishers. Sanjay Chaudhary Ph.D. is Professor and Associate Dean at the School of Engineering and Applied Science Ahmedabad University. He was Dean of Students of Ahmedabad University from 2020 to 2022. From 2001 to 2013 he was Professor and Dean of Academic Programs) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) Gandhinagar India. His research areas are Cloud Computing Blockchain Technology Data Analytics and ICT Applications in Agriculture and Rural Development. He has authored nine books and eleven book chapters. He has published over a hundred research papers in international conferences workshops and journals. He is an Active Member of program committees of leading International conferences and seminars and review committees of leading journals. He has received research grants from leading organizations including IBM Microsoft and the Department of Science and Technology Govt. of India. J. Adinarayana Ph.D. has been Teaching/Research Faculty Member since 1986 and is an Adjunct Professor at the Centre of Studies in Resources Engineering (CSRE) IIT Bombay India. His areas of expertise include agro-informatics in contemporary agriculture. As a Team Leader he led various interdisciplinary national and international R&D projects on digital agriculture. He served as President of the APFITA (Asia-Pacific Federation for Information Technology in Agriculture (2018-2022) as well as INSAIT (Indian Society of Agrl. Information Technology) (2018-2024). He received the JSPS Invitation Fellowship DST Young Scientist Project and INSA Visiting Scientist/Faculty awards. He is also Expert Member of various committees on IT in Agriculture formed by the Government of India. He has published more than 100 research papers in top international journals and supervised 13 PhD and more than 35 MTech students in the field of Agro-Informatics.  and has published about 100 papers in tier-1 journals. He is a strong believer of application of inter-disciplinary approach to the contemporary challenges in agriculture systems. Wei Guo Ph.D. is Associate Professor and PI at the Laboratory of Field Phenomics Graduate School of Agricultural and Life Sciences the University of Tokyo Japan. Trained as Engineer in computer science/informatics in China and Japan he received his Ph.D. in agriculture majoring in agro-informatics at the University of Tokyo in 2014. His research focuses on field-based phenotyping using advanced sensing platforms and technologies such as drones and ground robots image processing and machine learning approaches. In 2020 he received the Young Researchers Award from the Japanese Society of Agricultural Informatics. He has published over sixty journal papers in the field of plant phenomics.

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