- Title
- Roles of selective agriculture practices in sustainable agricultural performance : a systematic review
- Creator
- Ali, Basharat; Dahlhaus, Peter
- Date
- 2022
- Type
- Text; Journal article; Review
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188449
- Identifier
- vital:17255
- Identifier
-
https://doi.org/10.3390/su14063185
- Identifier
- ISSN:2071-1050 (ISSN)
- Abstract
- Feeding the growing global population while improving the Earth’s economic, environmental, and social values is a challenge recognised in both the United Nations Sustainable Development Goals and the United Nations Framework Convention on Climate Change. Sustaining global agricultural performance requires regular revision of current farming models, attitudes, and practices. In systematically reviewing the international literature through the lens of the sustainability framework, this paper specifically identifies precision conservation agriculture (PCA), digital agriculture (DA), and resilient agriculture (RA) practices as being of value in meeting future challenges. Each of these adaptations carries significantly positive relationships with sustaining agricultural performance, as well as positively mediating and/or moderating each other. While it is clear from the literature that adopting PCA, DA, and RA would substantially improve the sustainability of agricultural performance, the uptake of these adaptations generally lags. More in-depth social science research is required to understand the value propositions that would encourage uptake of these adaptations and the barriers that prevent them. Recommendations are made to explore the specific knowledge gap that needs to be understood to motivate agriculture practitioners to adopt these changes in practice. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- Publisher
- MDPI
- Relation
- Sustainability (Switzerland) Vol. 14, no. 6 (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Coyright © 2022 by the authors
- Rights
- Open Access
- Subject
- MD Multidisciplinary; Agricultural resilience; Digital agriculture; FAIR data; Precision conservation agriculture; Sustainability
- Full Text
- Reviewed
- Funder
- This research was funded by the Centre for eResearch and Digital Innovation (CeRDI), Federation University and Food Agility Cooperative Research Centre, Australia, under Grant Project CERDI-19-136.
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