Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province)

2019 ◽  
Vol 27 (5) ◽  
pp. 529-538
Author(s):  
Maryam Aghajari ◽  
Maleeha Mozayyan ◽  
Marzieh Mokarram ◽  
Alireza Amirian Chekan
Keyword(s):  
Groundwater Quality ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Fars Province ◽  
Inference System ◽  
Geostatistical Methods ◽  
Neuro Fuzzy

Adaptive Neuro-Fuzzy Inference System in Agriculture

2020 ◽  
pp. 130-153
Author(s):  
K. Aditya Shastry ◽  
Sanjay H. A.
Keyword(s):  
Crop Yield ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Yield Prediction ◽  
Inference System ◽  
Fourth Section ◽  
The Third ◽  
Neuro Fuzzy ◽  
Basic Concepts

This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during recent times. The third section describes how Matlab software can be utilized to build the ANFIS model. The fourth section describes the case study of the application of ANFIS for crop yield prediction. The conclusion follows this case study.

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