Proceedings-Artikel

Spatial Decision Support Systems as a Means Towards Sustainable Agriculture

Christopher Tuot; Andreas Dengel
In: Proceedings the 4th IFAC International Workshop on Bio-Robotics, Information Technology, and Intelligent Control for Bioproduction Systems. IFAC International Workshop on Bio-Robotics, Information Technology, and Intelligent Control for Bioproduction Systems (Bio-Robotics), September 10-11, Champaign, Illinois, USA, Online, 2009.

Abstract

Sustainable agriculture follows the principles of nature to develop systems for raising crops and livestock that are, like nature, self-sustaining. Sustainable agriculture integrates three main goals: environmental health, economic profitability, and social and economic equity. Achieving those goals requires real-time location based information and services that enhance decision-making. The amount and the complexity of spatial information becoming available are dramatically increasing and so is the demand for tools easing the handling of such information. Therefore, farmers and regional experts in the field mostly rely on new spatial-data-oriented decision making tools. In this paper, we present two examples of such spatial decision support systems that we have implemented. The first and also the most important SDSS is a mashup of maps and tabular information providing an intuitive platform for efficient biomass-planning on the scale of a single production plant. The second SDSS is a collaborative route-planning system for utility vehicles using the geographical information provided by OpenStreetMap to provide adapted routing for heavy and large vehicles (e.g., lorries, tractors'). Finally, we explain how our biomass planner, currently suited for single production plants, can be combined with the collaborative route-planning system for utility vehicles to enable efficient biomass-planning on a larger scale.

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