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A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms

Shraddha Tadmare1 , Bodireddy Mahalakshmi2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 338-341, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.338341

Online published on Feb 28, 2019

Copyright © Shraddha Tadmare, Bodireddy Mahalakshmi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Shraddha Tadmare, Bodireddy Mahalakshmi, “A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.338-341, 2019.

MLA Style Citation: Shraddha Tadmare, Bodireddy Mahalakshmi "A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms." International Journal of Computer Sciences and Engineering 7.2 (2019): 338-341.

APA Style Citation: Shraddha Tadmare, Bodireddy Mahalakshmi, (2019). A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms. International Journal of Computer Sciences and Engineering, 7(2), 338-341.

BibTex Style Citation:
@article{Tadmare_2019,
author = {Shraddha Tadmare, Bodireddy Mahalakshmi},
title = {A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {338-341},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3665},
doi = {https://doi.org/10.26438/ijcse/v7i2.338341}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.338341}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3665
TI - A Survey on Plant Disease Detection and Classification Using Different Machine Learning Algorithms
T2 - International Journal of Computer Sciences and Engineering
AU - Shraddha Tadmare, Bodireddy Mahalakshmi
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 338-341
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Plant diseases takes place when an organism infects a plant and disrupts its normal growth habits. Diseases have many cause including fungi, bacteria and viruses. Fungi are identified mostly from their morphology, with importance placed on their reproductive structures. Bacteria are measured more primitive than fungi and usually have simpler life cycles. With few exceptions, bacteria are as single cells and increase in numbers by dividing into two cells during a process called binary fission. Viruses are tremendously tiny particles consisting of protein and genetic material with no related protein. The term disease is usually used only for the damage of live plants. Detection of these symptoms with visual aid is matter of time and inconsistent results. Even the experts from related areas have found this visual approach of detection to be erroneous. So by using image processing techniques and machine learning algorithms we can detect and classify diseases of plants.

Key-Words / Index Term

agricultural science, image processing, machine learning, classification, disease detection and classification

References

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