Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data

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• 作者：Ali Keshavarzi^a ; ^{alikeshavarzi@ut.ac.ir} ; Fereydoon Sarmadian^a ; Jalal Shiri^b ; Munawar Iqbal^c ; Rebecca Tirado-Corbalá ; ^d ; El-Sayed Ewis Omran^e
• 关键词：ANFIS ; Multi variable linear regression ; Soil Cation Exchange Capacity ; Soil properties ; Subtractive clustering
• 刊名：Measurement
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：95
• 期：Complete
• 页码：173-180
• 全文大小：2216 K
• 卷排序：95

文摘

The conventional procedures for soil Cation Exchange Capacity (CEC) measurement are time consuming. MR and ANFIS models were employed to predict the soil CEC based on clay, organic carbon (OC) and Band 3 inputs. The results revealed that the ANFIS model had the ability to estimate soil CEC by computing easily measurable variables.