Digital Ecosystem for Innovation in Agriculture (eBook)

Artikelnummer: 978-981-9905-77-5
Einband: PDF
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This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage  agriculture and natural resources.
accessibilitysupport@springernature.com
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage  agriculture and natural resources.
accessibilitysupport@springernature.com
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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2023
Seitenangabe270 S.
AusgabekennzeichenEnglisch
AbbildungenXIX, 270 p. 113 illus., 99 illus. in color.
Masse10'911 KB
PlattformPDF
ReiheStudies in Big Data; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorChaudhary, Sanjay (Hrsg.) / Biradar, Chandrashekhar M. (Hrsg.) / Divakaran, Srikrishnan (Hrsg.) / Raval, Mehul S. (Hrsg.)

Alle Bände der Reihe "Studies in Big Data; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor Sanjay (Hrsg.) Chaudhary

Dr Sanjay Chaudhary is an Industry Fellow at the University of Petroleum and Energy Studies. Before nine years in Academics, he had sixteen years of international work experience in the corporate sector. An IIT, SUNY (USA), and DTU graduate have expertise in operations and supply chain, data analytics, and e-commerce. He is a member of the Institute for Supply Management, India. He has published twenty academic journal articles or conference papers, a patent, and a book. Dr P. K. Suri is serving as a Professor at the Delhi School of Management (DSM), Delhi Technological University. His areas of interest in teaching, research and consultancy include Analytics, E-Governance, IT Strategy, and Supply Chain. A former Indian Statistical Service officer, he has also served in consulting roles for the UN bodies, viz. WTO and FAO. He has published two books and more than twenty-two academic research articles. Prof Komal Kapoor is Assistant Professor at IMS Ghaziabad (University Courses Campus). She has expertise in marketing, strategy, entrepreneurship, design thinking and operations with over 2 decades of rich experience in teaching, training and research. As an author she has penned many chapters in the indexed books and research articles in reputed academic journals.

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