Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4832
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dc.contributor.authorScharfy, Deborah-
dc.contributor.authorBoccali, Norman-
dc.contributor.authorStucki, Matthias-
dc.date.accessioned2018-10-11T14:45:17Z-
dc.date.available2018-10-11T14:45:17Z-
dc.date.issued2017-
dc.identifier.issn2071-1050de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/11715-
dc.description.abstractAs agriculture continues to be under pressure due to its negative environmental impacts, resource-efficiency and the use of clean technologies gain importance. Meanwhile, there is an abundance of technological solutions that help “clean” agriculture’s hotspots, either by reducing inputs, by producing renewable energy or by protecting ecosystems. Decisions about clean technologies remain difficult due to the variety of options, difficulties in cost-benefit calculations, and potential trade-offs in sustainability. We therefore addressed the issue of decision-making regarding clean technologies in agriculture. A multi-criteria decision analysis (MCDA) was used to rank the most sustainable technologies. Evaluation of 17 selected clean technologies was based on literature information and expert opinion. Wireless sensor irrigation networks, frequency converters for vacuum pumps and stable air conditioning, PV electricity and drip irrigation were the five technologies with the highest sustainability scores, outperforming the 12 other clean technologies. When all sustainability dimensions and criteria were equally weighted, PV electricity was superseded by variable speed drive technology for irrigation in the top five. This paper shows that MCDAs are a useful method for choosing between sustainable clean technology options. By applying different weighting, the MCDA can reflect the priorities of the decision maker and provide customised results.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofSustainabilityde_CH
dc.rightshttps://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectAgriculturede_CH
dc.subjectLCAde_CH
dc.subjectSolarde_CH
dc.subjectCleantechde_CH
dc.subject.ddc338.927: Umweltökonomie und nachhaltige Entwicklungde_CH
dc.subject.ddc630: Landwirtschaftde_CH
dc.titleClean technologies in agriculture : how to prioritise measures?de_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.21256/zhaw-4832-
dc.identifier.doi10.3390/su9081303de_CH
zhaw.funding.euNode_CH
zhaw.issue8de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume9de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snfIZLSZ2_148799/1de_CH
zhaw.webfeedÖkobilanzierungde_CH
zhaw.funding.zhawApplying Life Cycle Assessment for the mitigation of environmental impacts South African agrifood productsde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Scharfy, D., Boccali, N., & Stucki, M. (2017). Clean technologies in agriculture : how to prioritise measures? Sustainability, 9(8). https://doi.org/10.21256/zhaw-4832
Scharfy, D., Boccali, N. and Stucki, M. (2017) ‘Clean technologies in agriculture : how to prioritise measures?’, Sustainability, 9(8). Available at: https://doi.org/10.21256/zhaw-4832.
D. Scharfy, N. Boccali, and M. Stucki, “Clean technologies in agriculture : how to prioritise measures?,” Sustainability, vol. 9, no. 8, 2017, doi: 10.21256/zhaw-4832.
SCHARFY, Deborah, Norman BOCCALI und Matthias STUCKI, 2017. Clean technologies in agriculture : how to prioritise measures? Sustainability. 2017. Bd. 9, Nr. 8. DOI 10.21256/zhaw-4832
Scharfy, Deborah, Norman Boccali, and Matthias Stucki. 2017. “Clean Technologies in Agriculture : How to Prioritise Measures?” Sustainability 9 (8). https://doi.org/10.21256/zhaw-4832.
Scharfy, Deborah, et al. “Clean Technologies in Agriculture : How to Prioritise Measures?” Sustainability, vol. 9, no. 8, 2017, https://doi.org/10.21256/zhaw-4832.


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