A Revisit to Clustering Techniques with its Application in Agriculture Sector

EasyChair Preprint 793

Abstract

Ensuring food availability and stabilizing food prices through large scale interventions in the food grain sector has a long tradition in India. Currently, India’s food program encompasses public procurement, storage and distribution of wheat, coarse grains and rice.

India promotes co-operative marketing of agricultural produce to benefit the farmers, by undertaking procurement of agricultural commodities for internal trade as well as for exports. National Agricultural Cooperative Marketing Federation of India (NAFED) is one of the central Nodal Agencies for procurement of 16 notified agricultural commodities and is having godown capacity of 50,200 MT, Cold storage capacity of 9565 MTs, Onion storage capacity of 4400 MTs and Empty Container Yard of 20,008 Sq. Mt. Quality checking at the time of procurement is done for physical parameters such as moisture, shriveled grains, broken grains, admixture etc., in accordance with the Fair Average Quality norms.

Data mining process results in discovering new patterns in large data sets. It is the process of analyzing data from different perspectives and summarizing it into useful information without any restriction to the type of data that can be analyzed. The goal of the data mining process is to extract knowledge from an existing data set and transform it for advanced use.

The data availability can be as either a text file or a web server log or a data warehouse or a relational database. Effective Analysis of data in needs understanding of appropriate techniques of data mining. The intention of this paper is to use different data mining techniques in perspective of agriculture domain with respect to Quality assessment of Groundnuts so as to develop a model for application of the model to Quality decision of procurement of any of the 16 notified agricultural commodities like Oilseeds, Pulses and Cotton in accordance with Fair Average Quality Norms.

Keyphrases: Agriculture, Classification, Clustering, Groundnuts Quality, NAFED, Regression

@booklet{EasyChair:793,
  author    = {Vyoma Srivastava and Dr. K. K. Aggarwal and Abhay Kumar Srivastava},
  title     = {A Revisit to Clustering Techniques with its Application in Agriculture Sector},
  howpublished = {EasyChair Preprint 793},
  year      = {EasyChair, 2019}}