TY  - CONF
ID  - russ2008ipmu
T1  - Optimizing Wheat Yield Prediction Using Different Topologies of Neural Networks
A1  - Ruß, Georg
A1  - Kruse, Rudolf
A1  - Schneider, Martin
A1  - Wagner, Peter
ED  - Verdegay, José Luis
ED  - Ojeda-Aciego, Manuel
ED  - Magdalena, Luis
TI  - Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-08)
Y1  - 2008
SP  - 576
EP  - 582
T2  - University of Málaga
CY  - Málaga
KW  - Data Mining
KW  - Neural Networks
KW  - Precision Agriculture
KW  - Prediction
N2  - Precision agriculture (PA) and information technology (IT) are closely interwoven. The former usually refers to the application of nowadays' technology to agriculture. Due to the use of sensors and GPS technology, in today's agriculture many data are collected. Making use of those data via IT often leads to dramatic improvements in efficiency. For this purpose, the challenge is to change these raw data into useful information by using decision rules. These rules include the management know-how for (economic) optimal recommendations. This paper deals with suitable modeling techniques for those agricultural data where the objective is to uncover the existing patterns. In consequence, yield prediction is enabled based on cheaply available site data. Based on this prediction, economic or environmental optimization of, e.g., fertilization can be carried out.
ER  -