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Adaptive Neuro-Fuzzy Inference System in Agriculture
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Author(s): K. Aditya Shastry (Nitte Meenakshi Institute of Technology, India)and Sanjay H. A. (Nitte Meenakshi Institute of Technology, India)
Copyright: 2020
Pages: 24
Source title:
Fuzzy Expert Systems and Applications in Agricultural Diagnosis
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)and M. Kalpana (Tamil Nadu Agricultural University, India)
DOI: 10.4018/978-1-5225-9175-7.ch008
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Abstract
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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