The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention
Open accessAbstract
Abstract The issue of food loss and waste (FLW) reduction has recently achieved much public attention as part of worldwide efforts to combat global hunger and improve food security. Studies conducted by various international and national organizations led by the FAO indicated that about one third of all food produced on the planet and about a half of all fruit and vegetables (FV 2) Quantifications of FV 3) Causes and consumer decisions related to FV 4) Emerging new technologies for prevention of FV 5) Other means to reduce F&V losses, including consumer awareness campaigns, advertisement of home storage instructions and policy and legislative measures. Due to the great importance of reducing F&V losses, we encourage postharvest researchers to become more engaged with logistics and food supply-chain operations, and to conduct multidisciplinary research incorporating consumer behavior studies into postharvest research.
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Cites
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Cited by
Martínez-Inda, B., Esparza, I., Moler, J. A., Jiménez-Moreno, N., & Ancín-Azpilicueta, C. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.116460 · Cited by 41
Metadata
- Authors
- Porat, R., Lichter, A., Terry, L. A., Harker, R., & Buzby, J.
- Venue
- Postharvest Biology and Technology
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 139
- Pages
- 135-149
- ISSN
- 0925-5214 (ISSN-L)
- OpenAlex
- W2788536640
- Cited by
- 420
- References
- 78
- FWCI
- 27.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Porat, R., Lichter, A., Terry, L. A., Harker, R., & Buzby, J. (2018). Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention. Postharvest Biology and Technology. https://doi.org/10.1016/j.postharvbio.2017.11.019
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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.
