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Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

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A Survey and Analysis of Various Agricultural Crops Classification Techniques

by Surabhi Chouhan, Divakar Singh, Anju Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 11
Year of Publication: 2016
Authors: Surabhi Chouhan, Divakar Singh, Anju Singh
10.5120/ijca2016908575

Surabhi Chouhan, Divakar Singh, Anju Singh . A Survey and Analysis of Various Agricultural Crops Classification Techniques. International Journal of Computer Applications. 136, 11 ( February 2016), 25-30. DOI=10.5120/ijca2016908575

@article{ 10.5120/ijca2016908575,
author = { Surabhi Chouhan, Divakar Singh, Anju Singh },
title = { A Survey and Analysis of Various Agricultural Crops Classification Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 11 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number11/24199-2016908575/ },
doi = { 10.5120/ijca2016908575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:50.327580+05:30
%A Surabhi Chouhan
%A Divakar Singh
%A Anju Singh
%T A Survey and Analysis of Various Agricultural Crops Classification Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 11
%P 25-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining is way of providing and extracting some meaning information from the data so that the data can be classified and grouped easily and quickly. These mining algorithms can be applied in various fields including classification of agricultural crops production. In the fields of Data Mining various efficient algorithms are implemented for the classification of agricultural crops production. Here in this paper a survey of all the existing techniques as well as their advantages and issues are discussed. Hence by analyzing their various advantages and issues a new and efficient technique for the classification of agricultural crops production is proposed in future such as classification using Fuzzy Conclusion Tree by the Optimizing the Feature Withdrawal using PSO-SVM (Particle Swarm Optimization with Support Vector Machine).

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