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Volumn 76, Issue 1, 2016, Pages 15-26

Big data and Ag-Analytics: An open source, open data platform for agricultural & environmental finance, insurance, and risk

Author keywords

Agricultural analytics; Big data; Data integration; Data interoperability; Finance; Risk management

Indexed keywords


EID: 84976531157     PISSN: 00021466     EISSN: 20416326     Source Type: Journal    
DOI: 10.1108/AFR-03-2016-0018     Document Type: Article
Times cited : (49)

References (6)
  • 1
    • 84976525758 scopus 로고    scopus 로고
    • “Increasing access to the results of federally funded scientific research”, OSTP Memorum for the Heads of Executive Departments Agencies, Washington, DC, February 22
    • Office of Science and Technology Policy (2013), “Increasing access to the results of federally funded scientific research”, OSTP Memorandum for the Heads of Executive Departments and Agencies, Washington, DC, February 22.
    • (2013)
  • 2
    • 84976554974 scopus 로고    scopus 로고
    • “Sustaining environmental capital: protecting society the economy”, Washington, DC
    • President’s Council of Advisors on Science and Technology (2011), “Sustaining environmental capital: protecting society and the economy”, Washington, DC.
    • (2011)
  • 3
    • 84976525543 scopus 로고    scopus 로고
    • PRISM Climate Group, Oregon State University (2016), available at: www.prism.oregonstate.edu/documents/PRISM_terms_of_use.pdf; http://prism.oregonstate.edu (accessed June 2016).
    • (2016)
  • 4
    • 84895087802 scopus 로고    scopus 로고
    • Big data and the ag sector: more than lots of numbers
    • Sonka, S. (2014), “Big data and the ag sector: more than lots of numbers”, International Food and Agribusiness Management Review, Vol. 17 No. 1, pp. 1-20.
    • (2014) International Food and Agribusiness Management Review , vol.17 , Issue.1 , pp. 1-20
    • Sonka, S.1
  • 6
    • 85010445028 scopus 로고    scopus 로고
    • Data science and management for large scale empirical applications in agricultural and applied economics research
    • Woodard, J.D. (2016), “Data science and management for large scale empirical applications in agricultural and applied economics research” Applied Economic Perspectives and Policy.
    • (2016) Applied Economic Perspectives and Policy
    • Woodard, J.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.