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Study of Leaf Disease using Deep Learning

Sadhvik Reddy1 , Saumit Sandesh C2 , Srividya KA3 , Sandeep Reddy4 , Mohana Kumar S5 , allegowda M6

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 1036-1040, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.10361040

Online published on Apr 30, 2019

Copyright © Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M . 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: Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M, “Study of Leaf Disease using Deep Learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.1036-1040, 2019.

MLA Style Citation: Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M "Study of Leaf Disease using Deep Learning." International Journal of Computer Sciences and Engineering 7.4 (2019): 1036-1040.

APA Style Citation: Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M, (2019). Study of Leaf Disease using Deep Learning. International Journal of Computer Sciences and Engineering, 7(4), 1036-1040.

BibTex Style Citation:
@article{Reddy_2019,
author = {Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M},
title = {Study of Leaf Disease using Deep Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {1036-1040},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4162},
doi = {https://doi.org/10.26438/ijcse/v7i4.10361040}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.10361040}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4162
TI - Study of Leaf Disease using Deep Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Sadhvik Reddy, Saumit Sandesh C, Srividya KA, Sandeep Reddy, Mohana Kumar S, Mallegowda M
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 1036-1040
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Indian economy is largely dependent on the crop produce provided by the farmers. The agricultural output is affected by the condition of the plants which will be baring the consumable products. Diseased plants show stunted growth and are way below the optimal output which needs to be generated. Thus, such plants need to be treated in timely manner so such diseases could be treated before the health of the plant deteriorates further. The project is aimed at solving this problem by detecting the disease which the plant is facing by using concepts of image classification and deep learning. A camera is used to take a picture of the leaf and image is passed through a pre calibrated weighted neural network which uses alexnet architecture. the Output neuron which the plant ends up after passing through neural network is disease identified by the Neural network and measures are suggested to improve the condition for helping the plant get rid of the disease and provide optimal results in agricultural output. Thus, focus is on detecting the disease preventing the plants growth and thus provide precautionary measures to solve the problem.

Key-Words / Index Term

Agriculture, leaf disease, deep learning, alexnet architecture,CNN

References

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