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Volumn 438, Issue , 2016, Pages 165-175

Big data in precision agriculture through ICT: Rainfall prediction using neural network approach

Author keywords

Big data; Big data analytics; Information and communication technology; Precision agriculture

Indexed keywords

AGRICULTURE; DATA HANDLING; DECISION SUPPORT SYSTEMS; FORECASTING; RAIN; WEATHER FORECASTING;

EID: 84974691364     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-981-10-0767-5_19     Document Type: Conference Paper
Times cited : (20)

References (14)
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    • D. Borthakur, “The hadoop distributed file system: Architecture and design,’’ Hadoop Project Website, vol. 11, no. 2007, p. 21, 2007.
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    • Borthakur, D.1
  • 10
    • 84903515015 scopus 로고    scopus 로고
    • Precision agriculture: Challenges and opportunities in a flat world
    • R. Khosla, “Precision agriculture: challenges and opportunities in a flat world,’’ in 19th World Congress of Soil Science, 2010.
    • (2010) 19Th World Congress of Soil Science
    • Khosla, R.1
  • 11
    • 15044362296 scopus 로고    scopus 로고
    • Future directions of precision agriculture
    • A. McBratney, B. Whelan, T. Ancev, and J. Bouma, “Future directions of precision agriculture,’’ Precision Agriculture, vol. 6, no. 1, pp. 7-23, 2005.
    • (2005) Precision Agriculture , vol.6 , Issue.1 , pp. 7-23
    • McBratney, A.1    Whelan, B.2    Ancev, T.3    Bouma, J.4
  • 13
    • 84877644896 scopus 로고    scopus 로고
    • Rise of big data: How it’s changing the way we think about the world, the
    • K. Cukier and V. Mayer-Schoenberger, “Rise of big data: How it’s changing the way we think about the world, the,’’ Foreign Aff., vol. 92, p. 28, 2013.
    • (2013) Foreign Aff , vol.92 , pp. 28
    • Cukier, K.1    Mayer-Schoenberger, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.