BOOK-CHAPTER

Adaptive Neuro-Fuzzy Inference System in Agriculture

K. Aditya ShastryH. A. Sanjay

Year: 2019 Advances in environmental engineering and green technologies book series Pages: 130-153   Publisher: IGI Global

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.

Keywords:
Adaptive neuro fuzzy inference system Inference system MATLAB Computer science Inference Section (typography) Agriculture Artificial intelligence Machine learning Fuzzy logic Fuzzy control system Ecology Biology Operating system

Metrics

4
Cited By
1.06
FWCI (Field Weighted Citation Impact)
37
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Greenhouse Technology and Climate Control
Life Sciences →  Agricultural and Biological Sciences →  Plant Science

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