Modeling Nitrate Concentration in Ground Water Using Regression and Neural Networks
Date
2003-01
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Food and Resources Economics
Abstract
Nitrate concentration in ground water is a major problem
in specific agricultural areas. Using regression and neural
networks, this study models nitrate concentration in
ground water as a function of iron concentration in
ground water, season and distance of the well from a
poultry house. Results from both techniques are
comparable and show that the distance of the well from a
poultry house has a significant effect on nitrate
concentration in groundwater.
Description
Keywords
Nitrogen, Ground water, Poultry, Neural networks