The conventional methods of application of nitrogen fertilizers might be responsible for the increased nitrate concentration in groundwater of areas dominated by irrigated agriculture. Appropriate water and nutrient management strategies are required to minimize groundwater pollution and to maximize nutrient use efficiency and production. Design and operation of a drip fertigation system requires understanding of nutrient leaching behavior in cases of shallow rooted crops such as potatoes which cannot extract nutrient from a lower soil depth. This study deals with neuro-fuzzy modeling of nitrate (NO3−) leaching from a potato field under a drip fertigation system. In the first part of the study, a two-dimensional solute transport model was used to simulate nitrate leaching from a sandy soil with varying emitter discharge rates and fertilizer doses. The results from the modeling were used to train and validate an adaptive network-based fuzzy inference system (ANFIS) in order to estimate nitrate leaching. Two performance functions, namely mean absolute percentage error (MAPE) and correlation coefficient (R), were used to evaluate the adequacy of the ANFIS. Results showed that ANFIS can accurately simulate HYDRUS-2D behavior regarding nitrate leaching under the circumstances of the present study.
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Research Article|
November 21 2012
Nitrate leaching from a potato field using adaptive network-based fuzzy inference system
Hosein Shekofteh;
1Department of Soil Science, Isfahan University of Technology, Isfahan, Iran
E-mail: [email protected]
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Majid Afyuni;
Majid Afyuni
1Department of Soil Science, Isfahan University of Technology, Isfahan, Iran
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Mohammad Ali Hajabbasi;
Mohammad Ali Hajabbasi
1Department of Soil Science, Isfahan University of Technology, Isfahan, Iran
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Bo V. Iversen;
Bo V. Iversen
2Department of Agroecology, Aarhus University, Denmark
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Hossein Nezamabadi-pour;
Hossein Nezamabadi-pour
3Department of Electrical Engineering, Shahid Bahounar University of Kerman, Kerman, Iran
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Fariborz Abassi;
Fariborz Abassi
4Agricultural Engineering Research Institute, Karaj, Iran
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Farid Sheikholeslam
Farid Sheikholeslam
5Department of Electrical Engineering, Isfahan University of Technology, Isfahan, Iran
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Journal of Hydroinformatics (2013) 15 (2): 503–515.
Article history
Received:
June 11 2011
Accepted:
September 04 2012
Citation
Hosein Shekofteh, Majid Afyuni, Mohammad Ali Hajabbasi, Bo V. Iversen, Hossein Nezamabadi-pour, Fariborz Abassi, Farid Sheikholeslam; Nitrate leaching from a potato field using adaptive network-based fuzzy inference system. Journal of Hydroinformatics 1 April 2013; 15 (2): 503–515. doi: https://doi.org/10.2166/hydro.2012.075
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