Building integrated agriculture information modelling (BIAIM): An integrated approach towards urban agriculture
AbstractUrbanisation is transforming human societies in many ways. Besides bringing benefits to people in cities, it also has negative impacts such as food security. One way to meet the challenge is urban agriculture; however, traditional agricultural practices are not suitable within urban areas due to limited availability of land. Therefore, the alternative option is to grow crops inside or on top of buildings, e.g. building integrated agriculture (BIA). But, there is limited research and information available for designers and planners to design such buildings. The presented research project bridges the gap between agriculture and architecture by proposing a building integrated agriculture information modelling tool in integration with Building information modelling. The plugin tool has data on plants’ requirements and automatic response to environmental factors. Environmental factors include temperature, light, water, nutrients, air, humidity, spacing and support. In this paper, seasonal tomato is selected as a reference crop, and the impact of environment (temperature, light, water, nutrients and spacing) on its health is discussed and simulated for germination stage. The undertaken project contributes to the concept of BIA and BIM maturity level, which would help to design an optimum environment building for plants.
CitationKhan, R., Aziz, Z. and Ahmed, V. (2018) Building integrated agriculture information modelling (BIAIM) : an integrated approach towards urban agriculture, Sustainable Cities and Society, 37 (Feb 18) , pp. 594-607.
JournalSustainable Cities and Society
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An awareness-adoption matrix for strategic decision making in agricultural development projects: a case study in Yunnan Province, ChinaSubedi, Madhu; Hocking, Trevor J.; Fullen, Michael A.; McCrea, Alison R.; Milne, E.; Wu, Bozhi; Mitchell, David J. (Amsterdam: Elsevier, 2009)Significant achievements have been made in generating sustainable agricultural technologies in developing countries. Usually, these new technologies have been more effective in increasing production and productivity than existing technologies. However, many new technologies considered ‘effective’ have not been successful in alleviating the associated sustainability problems, due to poor adoption by targeted users. Success of any novel technical intervention should be judged on the basis of how widespread adoption is in the target area by targeted users. In this context, a case study identified the factors affecting farmers’ adoption of improved technologies extended by an agricultural development project in a rural Village in Yunnan Province, China. Initial adoption/adaptation of project technologies was influenced by farmers’ awareness of the technology. Farmers were more aware of polythene mulch, contour cultivation, intercropping and tree planting technologies than others. This led to a comparatively high initial uptake of polythene mulch, contour cultivation, sweet chestnut, and intercropping technologies. Farmers had inadequate knowledge about some Project technologies, the adoption of which was particularly low. This reveals the need for increasing farmers’ awareness about the rationale for Project technologies to achieve greater adoption/adaptation of project technologies by farmers over wider areas. Farmers’ testing of the technology leads to better adoption/adaptation compared to mere awareness. However, considerable time and resources are required for testing/trying technologies. This justifies the usefulness of comparatively quick and less resource demanding options for awareness creation. Development of effective cropping technologies is important for sustainable agricultural development. The success of any agricultural development project, especially in terms of improving sustainability, depends on how widely those improved technologies are adopted/adapted by farmers in the targeted region. Therefore, farmers’ adoption of technologies should be a key criterion for judging the success of any project. The awareness-adoption matrix is a useful tool to guide research and development projects to achieve expected adoption/adaptation of technologies. Use of the matrix helps identification of weak and strong aspects of research and development projects and thus assists strategic decision-making.