Tomato Leaf Diseases Prediction Using Deep Learning Algorithms-Reference-Cited by-同舟云学术

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Tomato Leaf Diseases Prediction Using Deep Learning Algorithms

Published:2024-04-18 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)
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Author:

Ananthi P.¹,Devi K. Nirmala²,D Gopinath³,Shanmugapriya P.¹,S Gowtham⁴

Affiliation:

1. Kongu Engineering College,Department of Computer Technology,Perundurai,Tamilnadu

2. Kristu Jayanti College,Department of Computer Science (PG),Bangaluru

3. Kristu Jayanti College,Department of Computer Science,Bangaluru

4. MSc Software Systems, Kongu Engineering College,Erode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533425/10533188/10533491.pdf?arnumber=10533491

Reference20 articles.

1. An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique

2. High performance deep learning architecture for early detection and classification of plant leaf disease

3. Automatic blight disease detection in potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum, L. 1753) plants using deep learning

4. Identification of tomato leaf diseases based on LMBRNet

5. Detection of crop diseases using enhanced variability imagery data and convolutional neural networks

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