UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311023


Registration ID:
527428

Page Number

a142-a150

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Title

A Systematic Review on Artificial Intelligence Based Detection and Classification Technique of Major Crops Diseases

Abstract

In our country, Agriculturesector is playing important role due to population growth and increased demand for food. Agriculture sector provides food to all the human beings even in case of rapid increase in the population. Detection of crops disease is a one of the important and tedious tasks in agricultural sector. It requires huge time as well as skilled labour. But it unfortunate to predict the diseases at the early stage of the crops. Crops diseases are one of source of embarrassment. In the quality and productivity of crops which can lead to the shortage of food supply. Therefore, crops disease classification and detection are essential to the agriculture sector. In the field of agriculture, it is recommended to predict the crops diseases at their early stage. The disease in crops can be detected and treated at an early stage. One of these important effects on low crop yields is diseases caused by bacteria, fungi and viruses. So, machine learning and deep learning techniques could play a pivotal role in detecting and classifying the crops diseases at an early stage. This research article proposes a smart and efficient technique for detection and classification of crop diseases which uses computer vision and machine learning techniques. In this article, the authors addressed and evaluated the various currently existing states of art methods and techniques based on machine and deep learning. In this survey it observed that Convolution Neural Network gives high accuracy and detects a greater number of diseases of multiple crops.

Key Words

Agriculture, Crops Diseases, Detection, Classification, Machine Learning.

Cite This Article

"A Systematic Review on Artificial Intelligence Based Detection and Classification Technique of Major Crops Diseases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.a142-a150, November-2023, Available :http://www.jetir.org/papers/JETIR2311023.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Systematic Review on Artificial Intelligence Based Detection and Classification Technique of Major Crops Diseases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppa142-a150, November-2023, Available at : http://www.jetir.org/papers/JETIR2311023.pdf

Publication Details

Published Paper ID: JETIR2311023
Registration ID: 527428
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: a142-a150
Country: Buldhana, maharastra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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