Research area/discipline: Software Engineering
Prerequisites: Software Engineering (INF-32306), Programming in Python (INF-22306)
Precision agriculture (PA) or satellite farming is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. Crop variability typically has both a spatial and temporal component which makes statistical/computational treatments quite involved. An important aspect of precision agriculture research focuses on defining a Decision Support System (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources. A Decision Support System (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help to make decisions, which may be rapidly changing and not easily specified in advance (Unstructured and Semi-Structured decision problems). Decision support systems can be either fully computerized, human or a combination of both.
In this project you will first carry out a domain analysis to smart farming and define a common domain model that includes the key aspects and the related rules for decision support in smart farming system. Subsequently you will first design the DSS and integrate the identified decision support rules in the DSS. The result of the project will be an executable DSS for smart farming.
For more information: Bedir.Tekinerdogan@wur.nl