Big data in agriculture and their analyses

Stuti Shrivastava, Amy Marshall-Colon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

‘Big data’ is a term used to define data exceeding one terabyte in size. Big data is collected and analyzed to inform many different fields, including life science, economics, business, and politics. Agricultural data is rapidly approaching the scale of ‘big data’ as new technologies are being developed annually to collect information about crops, the environment, and their interaction. There is a critical need for software and models to organize, analyze, and interpret this data. Big data from agriculture has the potential to increase food security by accelerating breeding programs, and contributing to the thoughtful design of crop ideotypes that can maintain high yield under challenging environmental conditions.

Original languageEnglish (US)
Title of host publicationEncyclopedia of Food Security and Sustainability
PublisherElsevier
Pages233-237
Number of pages5
ISBN (Electronic)9780128126882
ISBN (Print)9780128126875
DOIs
StatePublished - Jan 1 2018

Keywords

  • Agriculture
  • Big data
  • Food security
  • Genetic engineering
  • Modeling
  • Radar
  • Remote sensing
  • Smart farming
  • Visualization

ASJC Scopus subject areas

  • Engineering(all)
  • Agricultural and Biological Sciences(all)

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  • Cite this

    Shrivastava, S., & Marshall-Colon, A. (2018). Big data in agriculture and their analyses. In Encyclopedia of Food Security and Sustainability (pp. 233-237). Elsevier. https://doi.org/10.1016/B978-0-08-100596-5.22191-4