Fuzzy Based Intelligent System to Predict Most Suitable Crop

DOI

10.2991/iccasp-16.2017.58How to use a DOI?

Keywords

DSS, Data Mining, Analysis of Patterns, Fuzzy Logic

Abstract

This paper describes design, development and deployment of a fuzzy based agricultural decision support system which help farmers to make wise decisions regarding selection of a crop. Various parameters for decision making are understood and Fuzzy interface systems are developed. This study finds application in India as the selection of crop is based on folklore knowledge and farmers find this process extremely hard. Choosing most suitable crop is the major problem farmer has to face.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - R. Joshi
AU  - H. Fadewar
AU  - P. Bhalchandra
PY  - 2016/12
DA  - 2016/12
TI  - Fuzzy Based Intelligent System to Predict Most Suitable Crop
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 379
EP  - 383
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.58
DO  - 10.2991/iccasp-16.2017.58
ID  - Joshi2016/12
ER  -