Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4832
Title: Clean technologies in agriculture : how to prioritise measures?
Authors : Scharfy, Deborah
Boccali, Norman
Stucki, Matthias
Published in : Sustainability
Volume(Issue) : 9
Issue : 8
Publisher / Ed. Institution : MDPI
Issue Date: 2017
License (according to publishing contract) : CC BY 4.0: Namensnennung 4.0 International
Type of review: Peer review (Publication)
Language : English
Subjects : Agriculture; LCA; Solar; Cleantech
Subject (DDC) : 338.927: Environmental economics and sustainable development
630: Agriculture
Abstract: As 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 When all sustainability dimensions and criteria were equally weighted, PV electricity was superseded by variable speed drive technology for irrigation in the top five.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.
Departement: Life Sciences und Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Publication type: Article in scientific Journal
DOI : 10.3390/su9081303
10.21256/zhaw-4832
ISSN: 2071-1050
URI: https://digitalcollection.zhaw.ch/handle/11475/11715
Published as part of the ZHAW project : Applying Life Cycle Assessment for the mitigation of environmental impacts South African agrifood products
Appears in Collections:Publikationen Life Sciences und Facility Management

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