Fuzzy decision support system for assessing nitrogen fertilization in agricultural land
Modern conditional agriculture is based on whole field and mostly empirical approaches in defining and applying agrochemical inputs. The impact of fertilizing practices in the environment comprises of a crucial research matter. Soil nitrogen in its nitrate form is the most mobile nutrient, meaning that is easily leached out of soil system, increasing environmental risk.
In this paper, the design and application of a fuzzy decision support system, concerning nitrogen fertilization, is described. The system improves the overall decision process in the field of nitrogen fertilization and consists of two parts; the knowledge base and an analytical modular part. A sensitivity analysis was carried out, in order to assess the importance of selecting, applying and evaluating changes in the input parameters of the system. The system was applied in a set of point data in an agricultural land in Viotia prefecture (Central Greece) and the results delineate the samples into four different fertilizing treatments.
| Copyright: | © Aristotle University of Thessaloniki | |
| Source: | 2nd International Conference 2009 (Juni 2009) | |
| Pages: | 6 | |
| Autor: | A. Papadopoulos  D. Kalivas | |
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