Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area

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Norouzi Engenayi o.; Khalafi Khotbsara m.j.; Karimi Sorand m.

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Journal Paper

Paper Information

Journal: Journal of Irrigation Sciences and Engineering Year:2020 | Volume:42 | Issue:4 Page(s): 29-44

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Information Journal Paper

Title

Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area

Author(s)

Norouzi Engenayi o. | Khalafi Khotbsara m.j. | Karimi Sorand m. | Issue Writer Certificate

Keywords

Linear regressionQ1

Artificial neural networksQ1

Support vector regressionQ1

Field capacityQ2

Permanent wilting pointQ2

Abstract

Introduction Awareness of the important moisture points is crucial for irrigation studies on the farm, but measuring this information in a direct way is very costly and time consuming. Therefore, several models and relationships have been developed as Pedotransfer functions which indirectly predict the hydrological properties of the soil using readily available soil data with the aid of a series of proper mathematical relationships (Nguyen et al., 2015). Since the measurement of important moisture points is a time consuming, costly and difficult work, many attempts have been made in order to use simpler soil properties such as texture, the amount of organic matter, and bulk density. Pedotransfer functions are indeed predictive functions which establish relationship between the soil’ s readily available and latency data (e. g., the percentage of sand, silt and clay, bulk density and organic matter) including the parameters of the moisture curve (Field capacity and Permanent wilting point) (Botulla et al., 2013). Moreover, the functions that can be successfully implemented in an area may not have suitable adaptations in another area with real values. There are several methods for obtaining Pedotransfer functions, among them are Linear regression (LR), Artificial neural networks, fuzzy adaptive-neural inference, and support regression vector...

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APA: Copy

Norouzi Engenayi, o., Khalafi Khotbsara, m.j., & Karimi Sorand, m.. (2020). Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), 42(4 ), 29-44. SID. https://sid.ir/paper/217103/en

Vancouver: Copy

Norouzi Engenayi o., Khalafi Khotbsara m.j., Karimi Sorand m.. Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE)[Internet]. 2020;42(4 ):29-44. Available from: https://sid.ir/paper/217103/en

IEEE: Copy

o. Norouzi Engenayi, m.j. Khalafi Khotbsara, and m. Karimi Sorand, “Investigating the Performance of Data-based Methods in Estimating Important Moisture Points in Shahrood Area,” IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), vol. 42, no. 4 , pp. 29–44, 2020, [Online]. Available: https://sid.ir/paper/217103/en

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