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Fuzzy Expert Systems and Applications in Agricultural Diagnosis
It represents a value in the range of 0 and 1. A value closer to 1 indicates that an element belongs to a particular class, while values closer to 0 indicate that the element doesn’t belong to the particular class.
Published in Chapter:
Adaptive Neuro-Fuzzy Inference System in Agriculture
K. Aditya Shastry (Nitte Meenakshi Institute of Technology, India) and Sanjay H. A. (Nitte Meenakshi Institute of Technology, India)
Copyright: © 2020 |Pages: 24
DOI: 10.4018/978-1-5225-9175-7.ch008
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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Fuzzy Expert System in Agriculture Domain
A numerical value between 0 and 1 that represents the degree to which an element belongs to a particular set.
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