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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Optimized Multi-Attribute Water Quality Resource Assessment In Agriculture Sector

[Full Text]

 

AUTHOR(S)

A.V.S. Pavan Kumar, Dr. R. Bhramaramba

 

KEYWORDS

Agriculture products, e-agriculture, precision, classification, water quality assurance, clustering, and water parameters.

 

ABSTRACT

The Backbone of the Indian economy is Agriculture, and it is the main source of living for the Indian population. In agriculture crop yield is a basic data representation to predict user awareness for real-time applications. Different types of agriculture-related methodologies were introduced to explore user knowledge which can help farmers and different government-related organizations making better decision and policies which lead to increased production. In agriculture, water utilization plays a vital role and the main issue is to utilize the quality of water, it is an aggressive concept to describe efficient utilization of water in agriculture. Simple Regression Model and time series analysis are one of the techniques for conducting physical-chemical parameters like PH, Mg, Cl, etc. in labeled data sets with processing of efficient utilization in groundwater. To increase user awareness on agriculture field with effective quality parameters like pH, Mg, and other related parameters, also improves all these parameters is necessary to improve the quality in water resource utilization at agriculture sector, So that in this paper, we propose Pareto Optimal based Fuzzy C-means clustering (POFCM) to multi-attribute relation with water quality physical parameters in agriculture crop yield production environment. Performance analysis provides useful information for monitoring water quality in agriculture food production.

 

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