Full description
This data was collected by citizen scientists involved in the Edible Gardens project. The Edible Gardens project was a practical investigation into the productivity, resource efficiency and social value of urban agriculture in South Australia. Participating gardeners grew all kinds of herbs, vegetables and fruits. They also kept urban livestock such as chickens, other poultry, fish and bees. This dataset contains information related to each of the 34 registered home food gardens: spatial (suburb location, area under production, no. of garden areas, garden area location, type of production method); garden inputs (labour, costs, water [applied irrigation {mains water, collected rainwater or bore/grey water} and natural rainfall]); outputs (crop yields, calculated average retail price, calculated average nutritional content, sharing of produce with others (family, friends, community, food swap, other) and timing, length and season of all garden related activities (watering, planting, harvesting, livestock care, weeding, pest control, purchasing, sharing produce, fertilising, building, other).
Existing data was sourced from:
local :
DSET_EXISTING_DATA
This data contains three forms of secondary data:
1) Localised natural rainfall data collected from the Australian Bureau of Meteorology's Online Climate Database. Climate Data Online [Internet]. Commonwealth of Australia. 2018 [accessed 14th June 2018].
Link: http://www.bom.gov.au/climate/data/index.shtml.
2) Nutritional information, including energy, protein and percentages of edible parts of each crop collected from the Food Standards Australia New Zealand (FSANZ) online database - Nutrient Tables for Use in Australia (NUTTAB). NUTTAB 2010 Online Searchable Database [Internet]. 2017 [accessed 1 August 2015].
Link: http://www.foodstandards.gov.au/science/monitoringnutrients/nutrientables/nuttab/pages/default.aspx.
3) The retail value of different fresh foods over the life of the project collected from two supermarkets, one national Australian retailer and one South Australian state-based retailer. The average retail price from the two supermarkets at the time of reported harvest was applied. Although many of the participants reported using organic growing approaches, certified organic retail prices for food products were considered inappropriate due to the high certification costs paid by certified growers.
The following instruments/equipment were used to generate or capture the data:
local :
DSET_INST_DATA_CAPTURE
Registered citizen scientists were posted a data collection toolkit. Each toolkit contained:
* At least one water meter (or as many as four water meters depending on each irrigation setup), the two types available included either a small digital impeller water meter (suitable for consistent pressure and flow systems such as reticulated mains water) or a positive displacement Elster Model v100 meter (suitable for lower flow and pressure systems e.g. rainwater tanks).
* A 0-3kg Spring Balance to weigh harvested yields of individual crops.
* Instructions and data entry sheets.
The following software (and version) was used to analyse the data:
local :
DSET_SW_DATA_ANALYSIS
Statistical analyses were conducted using SPSS software (version 25. IBM Corp) and Microsoft Excel (version 2001).
The following software (and version) was used to generate or capture the data:
local :
DSET_SW_DATA_CAPTURE
The registered citizen scientists entered their self-collected garden data in a custom online data entry design on the project webpage, which was linked to data storage hosted by Microsoft Azure.
Data time period: 11 10 2015 to 03 06 2018
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
- Local : research.unisa.edu.au/dataset/647219
