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drivers and barriers for urban smarf farming

<p>Psychological research on perceptions on Urban Smart Farming is scarce, especially in a Global South context. To reach wide acceptance and create effective strategies for implementation, we need insights into what makes people hesitate and what would be perceived as motivating factor to engage in community led Urban Smart Farming projects. This article will present the systematic assessment of perceived drivers and barriers for Urban Smart Farming, based on a survey study in three African countries, South Africa, Nigeria, and Zambia. Each country turned out to have a unique pattern of drivers and barriers predicting intentions to engage in urban smart farming. Overall, common drivers have been found to be community wellbeing and opportunities for young people. Common perceived barriers that emerged in our assessment are a lack of trust and knowledge as well as a lack of funding. Demographics have been found to play less of a role in predicting intentions to be involved in Urban Smart Farming projects. We recommend practitioners to assess each region individually to promote innovative farming techniques appropriately.&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
4
Engagement
0

Dataset details

Repository
zenodo
Published
December 31, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.6807355

Scored with release 0.9.0

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