eWorkshop on Knowledge Discovery for Rural Systems (KDRS'2010)

Held in conjunction with
The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining
21-24 June, 2010 - Hyderabad, India

Conducting of Workshop

This workshop will be conducted as part of the The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Participants are encouraged to attend both the workshop and the conference in Hyderabad. All those that register and participate in the workshop must also register for the conference.

A eWorkshop will be run in conjunction with the workshop running  in the conference facilities in Hyderabad.  The eWorkshop is being organized to encourage participants who may not be able to get to Hyderabad. You are encouraged to submit and present papers either at the conference or via video conferencing. Alternatively you may wish to contribute solely as a registered workshop participant. All workshop matereials will be made available to all workshop participants.
Further details will be provided on the arrangements for the eWorshop when you register for the workshop.  

eWorkshop Overview

This workshop will examine the application of AI and Knowledge discovery techniques to improve the productivity and sustainability of rural and agricultural systems.  The focus of the workshop will be a forum to discuss how these techniques are  improving the productivity of rural and agricultural sectors .  Such techniques can improve the delivery of information for decision making by farmers, extension officers,  agricultural researchers to improve agricultural sustainability, selecting suitable varieties, managing pests and diseases and for land use planning on a local and regional basis.  

A number of computer science and agricultural researchers are collaborating to examine how the use of such KD techniques can contribute to rural sustainability  by effectively examining  the government  and research databases.   For example, AI techniques such as neural networks and data mining provided a better alternative to the use of traditional statistical techniques in choosing the best crop varieties or most appropriate management for pests and diseases,  soil salinity.  These techniques could also be used to predict the effects of changes in climate, rainfall and temperature as a result of climate change

Workshop Scope

The Workshop on Knowledge Discovery for Rural Systems encourages the following topics (but is not limited to)


·  Theoretical foundations in Data Mining

·  Data models for rural management

 ·  Farmer decision making

·  Knowledge based farmer recommendation models

· Land use management

· Water catchment management planning

· Data mining techniques in agriculture

·  Improving Data Quality of rural products and services

·  Data collection and integration techniques

·  Data cleaning and transformation

·  Information visualization of agricultural data.

·  Enhancing quality of tools available to rural systems.

·  Pattern recognition in agricultural images and data.

Workshop Paper Submission

All papers must be submitted electronically to Workshop Organizers at l.armstrong@ecu.edu.au in PDF format only. Submitting a paper to the workshop means that if the paper is accepted, at least one author should present the paper at the workshop or via videoconferening if you are participating as a eWorkshop participant. All attendees are required to register at PAKDD 2010 website.

We are currently negotiating with a publisher to a selection of the workshop papers in a special issue of  the International Journal of Agricultural and Environmental Information Systems.  We will keep you posted on the same.

Workshop paper submission deadline: Extended to April 30th 2010

Worshop Co Chairs

Leisa Armstrong
School of Computer and Security Science, Edith Cowan University,
Perth Australia

Neil Dunstan
University of New England, New South Wales, Australia

Dean Diepeveen
Department of Agriculture and Food Western Australia, Australia
J Adinarayana
CSRE, IIT Bombay, Mumbai, India 
 P. Krishna Reddy
IIIT Hyderabad,   India