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Farm Security with Fuzzy Classification-An Approach.

Authors :
Lele, Jyoti A.
Wyawahare, Amogh
Source :
Grenze International Journal of Engineering & Technology (GIJET); 2022, Vol. 8 Issue 1, p257-261, 5p
Publication Year :
2022

Abstract

In an agricultural country like India farmer's contribution is very vital. Though a lot of work is going on to increase the yield quality, security of the crops is also the question on the front because if the crops are destroyed or damaged due to animals or thefts the farmers are helpless. Hence we propose a system to help a farmer to identify where an animal or thief has entered the field using Fuzzy Classification. In machine learning many classifiers are there like Neural network, Convolutional neural network, Probabilistic approach, K-nearest neighbor, SVM, etc. But little literature is found on Fuzzy classifiers. Hence we introduce here an approach to classify the images of farm at fencing with and without animals using Fuzzy systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23955287
Volume :
8
Issue :
1
Database :
Complementary Index
Journal :
Grenze International Journal of Engineering & Technology (GIJET)
Publication Type :
Academic Journal
Accession number :
155858476