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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Nanotechnology in Agriculture: Which Innovation Potential Does It Have?

Open access
Fraceto, Leonardo F., Grillo, Renato, de Medeiros, Gerson A., Scognamiglio, Viviana, Rea, Giuseppina, Bartolucci, Cecilia·2016·Frontiers in Environmental Science

Abstract

Recent scientific data indicate that nanotechnology has the potential to positively impact the agrifood sector, minimizing adverse problems of agricultural practices on environment and human health, improving food security and productivity (as required by the predicted rise in global population), while promoting social and economic equity. In this context, we select and report on recent trends in nanomaterial-based systems and nanodevices that could provide benefits on the food supply chain specifically on sustainable intensification, and management of soil and waste. Among others, nanomaterials for controlled-release of nutrients, pesticides and fertilizers in crops are described as well as nanosensors for agricultural practices, food quality and safety.

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Crossref · 10.3389/fenvs.2016.00020

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Metadata

Authors
Fraceto, L. F., Grillo, R., de Medeiros, G. A., Scognamiglio, V., Rea, G., & Bartolucci, C.
Venue
Frontiers in Environmental Science
Published
2016-03-22
Volume
4
ISSN
2296-665X (ISSN-L)
OpenAlex
W2318865215
Cited by
683
References
2
FWCI
15.81
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanotechnology in Agriculture: Which Innovation Potential Does It Have? https://app.cochat.ai/papers/10.3389/fenvs.2016.00020
The paper
Fraceto, L. F., Grillo, R., de Medeiros, G. A., Scognamiglio, V., Rea, G., & Bartolucci, C. (2016). Nanotechnology in Agriculture: Which Innovation Potential Does It Have? Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2016.00020

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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.