Leaf Disease Detection and Prevention using Deep Learning

H. Anu; B. H. Yogeshwary; N. Yashwanth

doi:10.1109/AIDE57180.2022.10060181

Leaf Disease Detection and Prevention using Deep Learning

H. Anu, B. H. Yogeshwary, N. Yashwanth

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Crop disease is a major factor in the agriculture sector. To get great quality and quantity of crop, checking on the plant condition is the most important factor. Identifying the problems with a solution at an early stage is very important. So, a deep-learning-based project which it leads to detecting leaf disease is forwarded to the CNN algorithm. The available dataset which contains lots of images based on a different plant to find out the type of disease the plant has and also create a Robot that is capable of spraying the right pesticide on the diseased plant to avoid the further spread of the disease is used. The agenda is to come up with a better yield in the future stages.

Original language	English
Title of host publication	International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	223-229
Number of pages	7
ISBN (Electronic)	9781665493048
DOIs	https://doi.org/10.1109/AIDE57180.2022.10060181
Publication status	Published - 2022
Event	2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 - Karkala, India Duration: 22-12-2022 → 23-12-2022

Publication series

Name	International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

Conference

Conference	2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
Country/Territory	India
City	Karkala
Period	22-12-22 → 23-12-22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems
Statistics, Probability and Uncertainty
Instrumentation
Artificial Intelligence

Access to Document

10.1109/AIDE57180.2022.10060181

Cite this

Anu, H., Yogeshwary, B. H., & Yashwanth, N. (2022). Leaf Disease Detection and Prevention using Deep Learning. In International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 (pp. 223-229). (International Conference on Artificial Intelligence and Data Engineering, AIDE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIDE57180.2022.10060181

@inproceedings{aa3c954bde3c41abb23eb464505c6800,

title = "Leaf Disease Detection and Prevention using Deep Learning",

abstract = "Crop disease is a major factor in the agriculture sector. To get great quality and quantity of crop, checking on the plant condition is the most important factor. Identifying the problems with a solution at an early stage is very important. So, a deep-learning-based project which it leads to detecting leaf disease is forwarded to the CNN algorithm. The available dataset which contains lots of images based on a different plant to find out the type of disease the plant has and also create a Robot that is capable of spraying the right pesticide on the diseased plant to avoid the further spread of the disease is used. The agenda is to come up with a better yield in the future stages.",

author = "H. Anu and Yogeshwary, \{B. H.\} and N. Yashwanth",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 ; Conference date: 22-12-2022 Through 23-12-2022",

year = "2022",

doi = "10.1109/AIDE57180.2022.10060181",

language = "English",

series = "International Conference on Artificial Intelligence and Data Engineering, AIDE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "223--229",

booktitle = "International Conference on Artificial Intelligence and Data Engineering, AIDE 2022",

address = "United States",

}

Anu, H, Yogeshwary, BH & Yashwanth, N 2022, Leaf Disease Detection and Prevention using Deep Learning. in International Conference on Artificial Intelligence and Data Engineering, AIDE 2022. International Conference on Artificial Intelligence and Data Engineering, AIDE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 223-229, 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022, Karkala, India, 22-12-22. https://doi.org/10.1109/AIDE57180.2022.10060181

Leaf Disease Detection and Prevention using Deep Learning. / Anu, H.; Yogeshwary, B. H.; Yashwanth, N.
International Conference on Artificial Intelligence and Data Engineering, AIDE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 223-229 (International Conference on Artificial Intelligence and Data Engineering, AIDE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Leaf Disease Detection and Prevention using Deep Learning

AU - Anu, H.

AU - Yogeshwary, B. H.

AU - Yashwanth, N.

PY - 2022

Y1 - 2022

N2 - Crop disease is a major factor in the agriculture sector. To get great quality and quantity of crop, checking on the plant condition is the most important factor. Identifying the problems with a solution at an early stage is very important. So, a deep-learning-based project which it leads to detecting leaf disease is forwarded to the CNN algorithm. The available dataset which contains lots of images based on a different plant to find out the type of disease the plant has and also create a Robot that is capable of spraying the right pesticide on the diseased plant to avoid the further spread of the disease is used. The agenda is to come up with a better yield in the future stages.

AB - Crop disease is a major factor in the agriculture sector. To get great quality and quantity of crop, checking on the plant condition is the most important factor. Identifying the problems with a solution at an early stage is very important. So, a deep-learning-based project which it leads to detecting leaf disease is forwarded to the CNN algorithm. The available dataset which contains lots of images based on a different plant to find out the type of disease the plant has and also create a Robot that is capable of spraying the right pesticide on the diseased plant to avoid the further spread of the disease is used. The agenda is to come up with a better yield in the future stages.

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U2 - 10.1109/AIDE57180.2022.10060181

DO - 10.1109/AIDE57180.2022.10060181

M3 - Conference contribution

AN - SCOPUS:85150681021

T3 - International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

SP - 223

EP - 229

BT - International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

Y2 - 22 December 2022 through 23 December 2022

ER -

Anu H, Yogeshwary BH, Yashwanth N. Leaf Disease Detection and Prevention using Deep Learning. In International Conference on Artificial Intelligence and Data Engineering, AIDE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 223-229. (International Conference on Artificial Intelligence and Data Engineering, AIDE 2022). doi: 10.1109/AIDE57180.2022.10060181

Leaf Disease Detection and Prevention using Deep Learning

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