| Title: |
Title:
Vine Leaf Disease and AI, Detection of grapevine leaf diseases based on RGB-images, deep learning and its integration in a mobile application
|
| Authors: |
Authors:
Licka, Maria-Theresa, Elisabeth-von-Thadden-Schule, HeidelbergSchweikert, Mario, Leibniz-Gymnasium, Neustadt an der Weinstraße |
| Contributors: |
Contributors:
Editor: Physikalisch-Technische Bundesanstalt (PTB), ISNI: 0000 0001 2186 1887HostingInstitution: Physikalisch-Technische Bundesanstalt (PTB), ISNI: 0000 0001 2186 1887 |
| Pages: |
Pages:
16
|
| Languages: |
Languages:
en
|
| DOI: |
DOI:
10.7795/320.202210
|
| Resource Type: |
Resource Type:
PTB: Junge Wissenschaft,
DINI: Article,
DataCite: JournalArticle
|
| Publisher: |
Publisher:
Physikalisch-Technische Bundesanstalt (PTB)
|
| Rights: |
Rights:
Vervielfältigung nur zum eigenen persönlichen Gebrauch.
|
| Relationships: |
Relationships:
IsPartOf: ISSN 3053-4933
|
| Dates: |
Dates:
Available:
2023-03-16
Accepted: 2022-06-20 Submitted: 2022-02-04 |
| File: |
File:
Download File
(application/pdf)
5.2 MB
MD5 Checksum: d11ddf3532651e8f83133066a1b19b29 SHA256 Checksum: a1b1a821a128f236d35c25258e2b9b03fcd5a709ce33cd3c556c546e1c2b5d6c |
| Keywords: |
Keywords:
Grapevine leaf ;
Disease ;
Smartphone App ;
Machine learning ;
Convolutional Neural Network ;
Python ;
Tensorflow ;
Pesticide usage ;
Agriculture ;
Sustainability
|
| Abstract: |
Abstract:
This project enables early grapevine leaf disease identification on grape leaves by cell phone images, thereby allowing a precise usage of pesticides. The application is based on artificial intelligence (AI) which is trained to detect and differentiate the most common diseases. A continuous update of the extent and geographical location of disease spreading gives further valuable information to the winemakers using the application.
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| Series Information: |
Series Information:
Junge Wissenschaft. Paper 10/2022
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| Other: |
Other:
In der Jungen Wissenschaft werden Forschungsarbeiten von Schüler/innen, die selbstständig, z.B. in einer Schule oder einem Schülerforschungszentrum, durchgeführt wurden, veröffentlicht.
|
| Citation: |
Citation:
Licka, Maria-Theresa ; Schweikert, Mario . Vine Leaf Disease and AI. Detection of grapevine leaf diseases based on RGB-images, deep learning and its integration in a mobile application. Physikalisch-Technische Bundesanstalt (PTB), 2022. DOI: https://doi.org/10.7795/320.202210
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-OAR
