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Cited by 280

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Non-Thermal Plasma Treatment of Agricultural Seeds for Stimulation of Germination, Removal of Surface Contamination and Other Benefits: A Review

Randeniya, Lakshman K., de Groot, Gerard J. J. B.·2015·Plasma Processes and Polymers

Abstract

The presence of pathogens and other stresses at germination and seedling stages affect the successful establishment of crops. The use of non-thermal plasma is a new approach to reduce such stresses. Plasma can interact with seeds and change their surface characteristics by etching, introducing functional groups and coating with exotic materials. Emerging evidence indicate that plasma treatment of seeds can enhance germination and seedling growth in crops by removal of microbial layers, changes in water uptake and other changes. Here, we review the status of research and show the potential role that plasma technology can play in addressing the challenges in food production. Major progress is possible by plasma treatments at or near atmospheric pressure where batch processing of large seed samples is possible.

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Metadata

Authors
Randeniya, L. K., & de Groot, G. J. J. B.
Venue
Plasma Processes and Polymers
Publisher
Wiley
Published
2015-06-24
Volume
12
Issue
7
Pages
608-623
ISSN
1612-8850 (ISSN-L)
OpenAlex
W1909813781
Cited by
280
References
31
FWCI
11.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Non-Thermal Plasma Treatment of Agricultural Seeds for Stimulation of Germination, Removal of Surface Contamination and Other Benefits: A Review. https://app.cochat.ai/papers/10.1002/ppap.201500042
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Randeniya, L. K., & de Groot, G. J. J. B. (2015). Non-Thermal Plasma Treatment of Agricultural Seeds for Stimulation of Germination, Removal of Surface Contamination and Other Benefits: A Review. Plasma Processes and Polymers. https://doi.org/10.1002/ppap.201500042

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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.