Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms

Ayman Moustafa; Abdulrahman Al-Sewari; Sara Hassan

doi:10.1007/978-3-031-59707-7_8

Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms

Ayman Moustafa, Abdulrahman Al-Sewari, Sara Hassan

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

Original language	English
Title of host publication	Advances in Intelligent Computing Techniques and Applications
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	85-96
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-031-59707-7_8
Publication status	Published (VoR) - 11 May 2024

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	211
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

CNN
Deep learning
Machine learning
Tomato disease detection

Access to Document

10.1007/978-3-031-59707-7_8

Cite this

Moustafa, A., Al-Sewari, A., & Hassan, S. (2024). Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms. In Advances in Intelligent Computing Techniques and Applications (pp. 85-96). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 211). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-59707-7_8

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title = "Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms",

keywords = "CNN, Deep learning, Machine learning, Tomato disease detection",

author = "Ayman Moustafa and Abdulrahman Al-Sewari and Sara Hassan",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",

year = "2024",

month = may,

day = "11",

doi = "10.1007/978-3-031-59707-7_8",

language = "English",

series = "Lecture Notes on Data Engineering and Communications Technologies",

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Moustafa, A, Al-Sewari, A & Hassan, S 2024, Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms. in Advances in Intelligent Computing Techniques and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol. 211, Springer Science and Business Media Deutschland GmbH, pp. 85-96. https://doi.org/10.1007/978-3-031-59707-7_8

Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms. / Moustafa, Ayman; Al-Sewari, Abdulrahman ; Hassan, Sara.
Advances in Intelligent Computing Techniques and Applications. Springer Science and Business Media Deutschland GmbH, 2024. p. 85-96 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 211).

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

TY - GEN

T1 - Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms

AU - Moustafa, Ayman

AU - Al-Sewari, Abdulrahman

AU - Hassan, Sara

PY - 2024/5/11

Y1 - 2024/5/11

KW - CNN

KW - Deep learning

KW - Machine learning

KW - Tomato disease detection

UR - https://www.open-access.bcu.ac.uk/15264/

U2 - 10.1007/978-3-031-59707-7_8

DO - 10.1007/978-3-031-59707-7_8

M3 - Conference contribution

AN - SCOPUS:85194517779

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 85

EP - 96

BT - Advances in Intelligent Computing Techniques and Applications

PB - Springer Science and Business Media Deutschland GmbH

ER -

Plants Monitoring API to Detect Tomato Leaf Diseases using Deep-Learning Algorithms

Publication series

Keywords

Access to Document

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