Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Fuzzy Based Intelligent System to Predict Most Suitable Crop

Authors
R. Joshi, H. Fadewar, P. Bhalchandra
Corresponding Author
R. Joshi
Available Online December 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccasp-16.2017.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.58
DO  - https://doi.org/10.2991/iccasp-16.2017.58
ID  - Joshi2016/12
ER  -