Big data in agriculture and nutrition

dc.creatorMusker, Ruthie
dc.date2019-02-14
dc.date2024-06-21T09:06:37Z
dc.date2024-06-21T09:06:37Z
dc.date.accessioned2026-06-27T15:07:15Z
dc.descriptionThe food system community sees a huge potential for big data in agriculture to lift farmers out of poverty (Patel, 2013), and ensure that parents can feed their children nutritious, diverse foods (Lung’aho, 2018). In the USA, venture capitalists spent US$3 billion on ‘agtech’ (digital technology in agriculture) in 2016, with 46% of investors focusing on big data and analytics (Walker et al., 2016). Large data initiatives such as the CGIAR’s Big Data in Agriculture Platform have made thousands of datasets and publications available (Pineda, 2018). In order to establish a global data ecosystem that yields powerful insights and recommendations on the ways in which agriculture can improve nutrition, the community must ensure that the benefits of big data are for the betterment of all and not only for the few.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/146321
dc.identifier.urihttp://hdl.handle.net/123456789/95136
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.publisherCAB International
dc.relationhttps://doi.org/10.1079/9781786399311.0000
dc.rightsOpen Access
dc.sourceMusker, Ruthie. 2019. Big data in agriculture and nutrition. In Agriculture for improved nutrition: Seizing the momentum. Chapter 14. Fan, Shenggen; Yosef, Sivan; Pandya-Lorch, Rajul (Eds.). Wallingford, UK: International Food Policy Research Institute (IFPRI) and CABI. https://hdl.handle.net/10568/146321
dc.subjectdata
dc.subjectnutrition-sensitive agriculture
dc.subjectnutrition policies
dc.subjectagricultural policies
dc.subjectopen data
dc.subjectsustainability
dc.subjectnutrition
dc.subjectagricultural development
dc.subjectbig data
dc.subjectfood systems
dc.titleBig data in agriculture and nutrition
dc.typeBook Chapter

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