ESTIMATING OF WATER CONTENT IN FC AND PWP IN NORTH AND NORTH EAST OF IRAN'S SOIL SAMPLES USING K-NEAREST NEIGHBOR AND ARTIFICIAL NEURAL NETWORKS

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HAGHVERDI A.; GHAHRAMAN B.; KHOSHNOUD YAZDI A.A.; ARABI ZAHRA

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Journal: Journal of Water and Soil Year:2010 | Volume:24 | Issue:4 Page(s): 804-814

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Title

ESTIMATING OF WATER CONTENT IN FC AND PWP IN NORTH AND NORTH EAST OF IRAN'S SOIL SAMPLES USING K-NEAREST NEIGHBOR AND ARTIFICIAL NEURAL NETWORKS

Author(s)

HAGHVERDI A. | GHAHRAMAN B. | KHOSHNOUD YAZDI A.A. | ARABI ZAHRA | Issue Writer Certificate

Keywords

K-NEAREST NEIGHBORQ3

ARTIFICIAL NEURAL NETWORKSQ2

PEDOTRANSFER FUNCTIONQ2

FIELD CAPACITYQ2

PERMANENT WILTING POINTQ3

Abstract

Field capacity and PERMANENT WILTING POINT are the most important potential points in modeling and management of agiculutral products water requirement. Direct methods of identifying water content are time consuming and expensive. So use of PEDOTRANSFER FUNCTIONs for converting easily measurable characterictics to hydraulic charachteristics is a suitable solution to solve this problem. In this research efficency of NeuroMultistep outflow and K nearest neighborhood Models in deriving PTFs for identifying water content in FC and PWP for 122 soil samples of north and north east of Iran was investigated. In addition effect of different input parameters and data for deriving in both methods was specified. Results showed that in general KNN method (RMSE=0.027) had better results than NNs models (RMSE=0.037). Also we can say that sensitivity of NNs to quality and kind of deriving data is very high and heterogeneous data can decrease the efficiency of these models and increase the RMSE around 100%. Also the results showed that considering one or more hydraulic parameters as an input can improve the modeling results.

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APA: Copy

HAGHVERDI, A., GHAHRAMAN, B., KHOSHNOUD YAZDI, A.A., & ARABI, ZAHRA. (2010). ESTIMATING OF WATER CONTENT IN FC AND PWP IN NORTH AND NORTH EAST OF IRAN'S SOIL SAMPLES USING K-NEAREST NEIGHBOR AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 24(4), 804-814. SID. https://sid.ir/paper/141933/en

Vancouver: Copy

HAGHVERDI A., GHAHRAMAN B., KHOSHNOUD YAZDI A.A., ARABI ZAHRA. ESTIMATING OF WATER CONTENT IN FC AND PWP IN NORTH AND NORTH EAST OF IRAN'S SOIL SAMPLES USING K-NEAREST NEIGHBOR AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2010;24(4):804-814. Available from: https://sid.ir/paper/141933/en

IEEE: Copy

A. HAGHVERDI, B. GHAHRAMAN, A.A. KHOSHNOUD YAZDI, and ZAHRA ARABI, “ESTIMATING OF WATER CONTENT IN FC AND PWP IN NORTH AND NORTH EAST OF IRAN'S SOIL SAMPLES USING K-NEAREST NEIGHBOR AND ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 24, no. 4, pp. 804–814, 2010, [Online]. Available: https://sid.ir/paper/141933/en

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