The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies
Open accessAbstract
Precision agriculture provides important issues toward a more sustainable agriculture. Many farmers have the necessary technology to operate site-specifically, but they do not use it in practice, and thus available information and communications technology (ICT) systems are not used to their full potential. This paper addresses how to reduce the so-called “problem of implementation”, based on the knowledge that participatory approaches during the design and development process is one of the most important factors to frame technology adoption. The development of sustainable ICT systems through theories and methodologies from the fields of human computer interaction and user-centered design (UCD) is presented and an ongoing Swedish project for development of an agricultural decision support system (AgriDSS) for nitrogen fertilization is used as an example to frame the issue. The overreaching aim is to develop AgriDSSs that are sustainable in design as well as through design by stressing the importance of participatory approaches for the successful development of AgriDSSs. The Swedish project has the intention to apply a UCD approach, and some pitfalls on starting to use this way of working is identified as well as some suggestions on how to reduce them through co-learning processes. Despite the challenges presented in this paper, ICT can contribute significantly to long-term sustainable development. Thus, several competences and scientific disciplines need to act in concert to help develop a sustainable development of agriculture via a transdisciplinary approach that can make an impact on society at many levels.
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Klerkx, L., Jakku, E., & Labarthe, P. (2019) · NJAS: Wageningen Journal of Life Sciences · doi:10.1016/j.njas.2019.100315 · Cited by 1,307
The Politics of Digital Agricultural Technologies: A Preliminary Review
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Getahun, S., Kefale, H., & Gelaye, Y. (2024) · The Scientific World Journal · doi:10.1155/2024/2126734 · Cited by 414
Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review
Fielke, S., Taylor, B., & Jakku, E. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2019.102763 · Cited by 331
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
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Metadata
- Authors
- Lindblom, J., Lundström, C., Ljung, M., & Jonsson, A.
- Venue
- Precision Agriculture
- Published
- 2016-12-21
- Volume
- 18
- Issue
- 3
- Pages
- 309-331
- ISSN
- 1385-2256 (ISSN-L)
- 1573-1618
- OpenAlex
- W2567643124
- Cited by
- 364
- References
- 77
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.