The paper discusses issues related to Design, User experience Usability involved in designing the interface to be used in rural areas. This study analyses the problems based on tests done on the interface in the villages of Punjab, Pakistan. Rural development is based on economic, social and human development. Whereas, Software Requirement Engineering focuses on how requirements can be gathered to achieve better end product. We aim to discuss software requirement gathering process in rural areas and attempting to elicit requirements from Pakistani rural woman. This could help bridging the technological gaps exist between rural and remote areas
China is at a critical stage of transformation from traditional to modern agriculture and its agriculture and rural economic sector faces severe challenges of shortage of natural resources, environmental degradation, agricultural disasters, sluggish income growth of farmers and widening disparity...
Participatory action Research In Software Methodology Augmentation (PRISMA) is a software development methodology which has been amalgamated with Participatory Action Research (PAR). This paper justifies the inclusion of PAR in software development, and describes the PRISMA methodology vis-à-vis a case...
Global technology education is largely dominated by Western universities. Students from developing countries face an enormous challenge when moving from their local education system into the competitive international education market. Their local knowledge gets lost in a foreign education system...
Presentation for the AARINENA General Assembly. Damascus. 12-14 October 2008 on enhancing Information and Knowledge Systems for Agricultural Research and Innovation in West Asia and North Africa (WANA). In particular, the presentation outlines the need to enhance Information and Knowledge...
In this paper, a novel method to collect symptoms of the disease, as observed by the farmers, using a mobile phone application has been presented. A cumulative composite risk index (CCRI) obtained from more than one existing disease forecast models...
