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https://doi.org/10.21256/zhaw-3200| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Suitability evaluation system for the production and sourcing of agricultural commodities |
| Authors: | Jaisli, Isabel Laube, Patrick Trachsel, Sonja Ochsner, Pascal Schuhmacher, Sarah |
| DOI: | 10.21256/zhaw-3200 10.1016/j.compag.2018.02.002 |
| Published in: | Computers and Electronics in Agriculture |
| Volume(Issue): | 161 |
| Page(s): | 170 |
| Pages to: | 184 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Elsevier |
| ISSN: | 0168-1699 1872-7107 |
| Language: | English |
| Subjects: | Suitability assessment; GIS |
| Subject (DDC): | 338.927: Environmental economics and sustainable development 630: Agriculture |
| Abstract: | This article presents CONSUS (Connecting for Sustainable Sourcing), a modular GIS-based decision-support system for producing and sourcing agricultural commodities. The system extends the classic FAO land evaluation approaches in three specific dimensions: (i) the sustainability dimension: the extended suitability analysis reaches beyond purely biophysical suitability and integrates ecological, economic and social suitability; (ii) the value chain dimension: the focus of suitability analysis includes further upstream activities relevant for product trading; (iii) the spatio-temporal dimension: the inclusion of an adaptive global crop cycle model and scale-specific suitability modules allow for multi-scale suitability evaluation that considers cropping seasons; The system was implemented as a flexible tool set, featuring knowledge databases, GIS toolboxes, and supporting data processing modules. CONSUS emerged from a series of third party funded applied research projects. Two of these serve in this article as case studies illustrating the capabilities of the system: one global case study on the sourcing of hazelnuts, and one regional case study on suitability of soybean production in Rwanda. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/7487 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
| Restricted until: | 2021-07-01 |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Natural Resource Sciences (IUNR) |
| Published as part of the ZHAW project: | CONSUS |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CONSUS_CompElectronicsAgri_V20_acc.pdf | Accepted Version | 2.28 MB | Adobe PDF |  View/Open |
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Jaisli, I., Laube, P., Trachsel, S., Ochsner, P., & Schuhmacher, S. (2019). Suitability evaluation system for the production and sourcing of agricultural commodities. Computers and Electronics in Agriculture, 161, 170–184. https://doi.org/10.21256/zhaw-3200
Jaisli, I. et al. (2019) ‘Suitability evaluation system for the production and sourcing of agricultural commodities’, Computers and Electronics in Agriculture, 161, pp. 170–184. Available at: https://doi.org/10.21256/zhaw-3200.
I. Jaisli, P. Laube, S. Trachsel, P. Ochsner, and S. Schuhmacher, “Suitability evaluation system for the production and sourcing of agricultural commodities,” Computers and Electronics in Agriculture, vol. 161, pp. 170–184, 2019, doi: 10.21256/zhaw-3200.
JAISLI, Isabel, Patrick LAUBE, Sonja TRACHSEL, Pascal OCHSNER und Sarah SCHUHMACHER, 2019. Suitability evaluation system for the production and sourcing of agricultural commodities. Computers and Electronics in Agriculture. 2019. Bd. 161, S. 170–184. DOI 10.21256/zhaw-3200
Jaisli, Isabel, Patrick Laube, Sonja Trachsel, Pascal Ochsner, and Sarah Schuhmacher. 2019. “Suitability Evaluation System for the Production and Sourcing of Agricultural Commodities.” Computers and Electronics in Agriculture 161: 170–84. https://doi.org/10.21256/zhaw-3200.
Jaisli, Isabel, et al. “Suitability Evaluation System for the Production and Sourcing of Agricultural Commodities.” Computers and Electronics in Agriculture, vol. 161, 2019, pp. 170–84, https://doi.org/10.21256/zhaw-3200.
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