Big data's big potential in developing economies : impact on agriculture, health and environmental security / Nir Kshetri (The University of North Carolina at Greensboro, Greensboro, USA).
Material type:
TextPublisher: Wallingford, Oxfordshire, UK : CABI, 2016Copyright date: 2016Description: 1 online resource (xvi, 220 pages) : chartsContent type: - text
- computer
- online resource
- 9781780648705
- Big data -- Developing countries
- Agriculture and state -- Developing countries
- Medical policy -- Developing countries
- Environmental policy -- Developing countries
- Agricultural credit
- Agricultural policy
- Agricultural sector
- Constraints
- Environmental policy
- Environmental protection
- Health care
- Health policy
- Information
- Resource conservation
- Small farms
- 005.7094 23
- QA76.9.B45 K74 2016eb
This book aims at identifying and understanding the key factors and mechanisms involved in the diffusion and utilization of big data (BD) in key policy areas such as agriculture, health care and the environment in developing countries. The book has eight chapters and covers: (1) the current status, opportunities and challenges of big data in developing countries; (2) the big data ecosystem in developing countries; (3) big data in environmental protection and resource conservation; (4) big data in health-care delivery and outcomes; (5) big data in agriculture; (6) big data's role in increasing smallholder farmers' access to finance; and (7) data privacy and security issues facing smallholder farmers and poor communities in developing countries.
Includes bibliographical references and index.
Big data in developing countries: current status, opportunities and challenges -- Big data ecosystem in developing countries -- Big data in environmental protection and resources conservation -- Big data in health-care delivery and outcomes -- Big data in agriculture -- Big data's roles in increasing smallholder farmers' access to finance -- Data privacy and security issues facing smallholder farmers and poor communities in developing countries -- Lessons learned, implications and the way forward.
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