Emerging technologies can enhance the measurement and analysis of soil data and unleash its potential to support different ecosystem functions. However, concerns about ownership and reward complicate how and when the resulting data is shared. Soil data sharing must be incentivized to promote soil science.
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References
Rumpel, C. et al. Put more carbon in soils to meet Paris climate pledges. Nature 564, 32–34 (2018).
Status of the World’s Soil Resources: Main Report (FAO & ITPS, 2015); https://www.fao.org/3/i5199e/i5199e.pdf.
Padarian, J., Minasny, B. & McBratney, A. B. Machine learning and soil sciences: a review aided by machine learning tools. SOIL 6, 35–52 (2020).
Fraser, E. D. G. & Campbell, M. Agriculture 5.0: Reconciling Production with Planetary Health. One Earth 1, 278–280 (2019).
Padarian, J., Minasny, B. & McBratney, A. B. Online machine learning for collaborative biophysical modelling. Environ. Model. Softw. 122, 104548 (2019).
Carletto, C., Aynekulu, E., Gourlay, S. & Shepherd, K. Collecting the Dirt on Soils: Advancements in Plot-Level Soil Testing and Implications for Agricultural Statistics (The World Bank, 2017); https://openknowledge.worldbank.org/server/api/core/bitstreams/3c33f163-a5c2-53e7-81a0-a1862d235824/content.
Federal Democratic Republic of Ethiopia: Evaluation of MDGs Specific Purpose Grant to Regions (World Bank, 2016); https://openknowledge.worldbank.org/server/api/core/bitstreams/a0f3d760-4176-5f8e-a8eb-0fcff253c98f/content.
Acknowledgements
The authors acknowledge the support provided by the Canada First Research Excellence Fund (CFREF) – Food from Thought project at the University of Guelph and Natural Sciences and Engineering Research Council (NSERC) of Canada (RGPIN-2020-05017).
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Gobezie, T.B., Biswas, A. Break barriers in soil data stewardship by rewarding data generators. Nat Rev Earth Environ 4, 353–354 (2023). https://doi.org/10.1038/s43017-023-00439-4
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DOI: https://doi.org/10.1038/s43017-023-00439-4
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