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Digital agriculture to design sustainable agricultural systems

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The global food system must become more sustainable. Digital agriculture — digital and geospatial technologies to monitor, assess and manage soil, climatic and genetic resources — illustrates how to meet this challenge so as to balance the economic, environmental and social dimensions of sustainable food production.

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Fig. 1: DA in agricultural systems.

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Acknowledgements

This research was supported by the US Department of Agriculture/National Institute for Food and Agriculture (awards 2015-68007-23133 and 2018-67003-27406), US Department of Energy, Office of Science, Office of Biological and Environmental Research (awards DESC0018409 and DE-FC02-07ER64494) and Michigan State University AgBioResearch. We thank G. P. Robertson, P. Grace, S. Swinton, J. Hatfield, R. Martinez-Feria, S. Archontoulis, J. Jones and J. Ritchie for their comments on previous versions of this manuscript.

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Authors and Affiliations

  1. Department of Earth and Environmental Sciences, Michigan State University, East Lansing, MI, USA

    Bruno Basso

  2. W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, USA

    Bruno Basso

  3. Department of Applied Economics, Oregon State University, Corvallis, OR, USA

    John Antle

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  1. Bruno Basso
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  2. John Antle
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Correspondence to Bruno Basso.

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Basso, B., Antle, J. Digital agriculture to design sustainable agricultural systems. Nat Sustain 3, 254–256 (2020). https://doi.org/10.1038/s41893-020-0510-0

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