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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Opportunities and challenges for nanotechnology in the agri-tech revolution

Open access
Lowry, Gregory V., Avellan, Astrid, Gilbertson, Leanne M.·2019·Nature Nanotechnology

Abstract

Current agricultural practices, developed during the green revolution, are becoming unsustainable, especially in the face of climate change and growing populations. Nanotechnology will be an important driver for the impending agri-tech revolution that promises a more sustainable, efficient and resilient agricultural system, while promoting food security. Here, we present the most promising new opportunities and approaches for the application of nanotechnology to improve the use efficiency of necessary inputs (light, water, soil) for crop agriculture, and for better managing biotic and abiotic stress. Potential development and implementation barriers are discussed, emphasizing the need for a systems approach to designing proposed nanotechnologies.Nanotechnology offers a range of opportunities for sustainable agriculture. Successful developments will need a systems approach to designing proposed nanotechnologies.

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Metadata

Authors
Lowry, G. V., Avellan, A., & Gilbertson, L. M.
Venue
Nature Nanotechnology
Published
2019-06
Volume
14
Issue
6
Pages
517-522
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2948089988
Cited by
1,048
References
5
FWCI
30.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Opportunities and challenges for nanotechnology in the agri-tech revolution. https://app.cochat.ai/papers/10.1038/s41565-019-0461-7
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Lowry, G. V., Avellan, A., & Gilbertson, L. M. (2019). Opportunities and challenges for nanotechnology in the agri-tech revolution. Nature Nanotechnology. https://doi.org/10.1038/s41565-019-0461-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.