Jansen, Guido (author), Cila, Nazli (author), Kanis, Marije (author), and Slaats, Yanti (author)
Format:
Paper
Publication Date:
2016-05
Published:
USA: Association for Computing Machinery
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 93 Document Number: D10858
Notes:
Conference on Human Factors in Computing Systems - Proceedings Volume 07-12-May-2016, Pages 3091-3098. 34th annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016,, San Jose, California., Vertical farming is a promising new technology for increasing crop yields per square meter. However, little research has been done so far in people's perception of this technology. The aim of this project was to gain a better understanding of consumers' attitude on small scale vertical farming at home. This was achieved by developing a prototype that uses sensor and LED technology for growing food at home and deploying it in a user study. The prototype was built to give users a genuine feeling of what it would be like to use a small scale vertical farming system. The user study showed that the attitudes towards the system were mostly positive. However, a fully autonomous system is not desirable and there are concerns regarding food safety.
Hiroki, S. (author), Garnevska, E. (author), McLaren, S. (author), and Institute of Agriculture and Environment, Massey University, Palmerston North, New Zealand
Format:
Journal article
Publication Date:
2016-06-01
Published:
Springer
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 7 Document Number: D10267
27 pages., Via online journal., Local food is a popular subject among consumers, as well as food producers, distributors, policymakers and researchers in many countries. Previous research has identified that the definition of local food varies by context, and from country to country. The literature also suggested that environmental sustainability is one of the goals for many of the local food movements. While there is a substantial body of literature on local food internationally, limited research has been undertaken in New Zealand. This paper aims to understand how consumers define local food, what attributes they associate with local food, and the extent to which life cycle-based environmental aspects are represented in these attributes. Primary research employed quantitative methodology. This study identified that a majority of the respondents considered that local food may be defined as food that was produced in New Zealand and that support for community was the most important attribute associated with local food. Reduced GHG emission, conserving the landscape, and organic production were the life cycle-based environmental attributes that were associated with local food. This study provides a basis for further research into understandings of local food in New Zealand and how to improve communication among different social actors with respect to demand and supply of local food.
pgs. 559–574, Via online journal, The aim of this paper is to assess the eco-efficiency of dairy farms in Spain. To do so, we use data from a survey carried out in 2010 for the specific purpose of analysing the environmental performance of 50 dairy farms in the Spanish region of Asturias. The survey contains information on nutrients balances and greenhouse gas emissions which is used to calculate environmental pressure indicators. Eco-efficiency is measured using data envelopment analysis. We analyse the influence of farmers’ socio-economic characteristics and attitudes in explaining these eco-efficiency scores using truncated regression and bootstrapping procedures. On average, the dairy farms are found to be highly eco-inefficient. Among our results, farmers that are younger, that plan to continue in operation in the foreseeable future and that participate more in training schemes are found to be more eco-efficient. Self-reported positive environmental habits are also reflected in actual eco-efficient performance. We quantify these potential gains in eco-efficiency through a simulation analysis based on the estimated model’s coefficients.
