Synonyms
Big Data and (Smart) Agriculture
Big data and digital technology are driving the latest transformation of agriculture – to what is becoming increasingly referred to as “smart agriculture” or sometimes “digital agriculture.” This term encompasses farming systems that employ digital sensors and information to support decision-making. Smart agriculture is an umbrella concept that includes precision agriculture (see “AgInformatics” – De Montis et al. 2017) – in many countries (e.g., Australia) precision agriculture commonly refers to cropping practices that use GPS guidance systems to assist with seed, fertilizer, and chemical applications. It therefore tends to be associated specifically with cropping farming systems and deals primarily with infield variability. Smart agriculture, however, refers to all farming systems and deals with decision-making informed by location, contextual data, and situational awareness. The sensors...
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Further Readings
Australian Farm Institute. (2016). The implications of digital farming and big data for Australian agriculture. Surry Hills: NSW Australian Farm Institute. ISBN 978-1-921808-38-8.
Bronson, K., & Knezevic, I. (2016). Big data in food and agriculture. Big Data & Society, 3, 1–5. https://doi.org/10.1177/2053951716648174.
De Montis, A., Modica, G., & Arcidiacono, C. (2017). AgInformatics. Encylopedia of Big Data. https://doi.org/10.1007/978-3-319-32001-4_218-1.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. (2017). Big data in smart farming – A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023.
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Johnson, M., Hossain, H., Sposito, V., Faggian, R. (2018). Agriculture. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_219-1
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DOI: https://doi.org/10.1007/978-3-319-32001-4_219-1
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