Deep Transfer Learning for Tomato Leaf Diseases Detection and Classification using Pre-trained Models-Reference-Cited by-同舟云学术

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Deep Transfer Learning for Tomato Leaf Diseases Detection and Classification using Pre-trained Models

Published:2023-12-21 Issue: Volume: Page:290-295
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Communication (ICSC)
language:
Short-container-title:

Author:

Mishra Ashish¹,Mishra Ashutosh²,Tewari A. K³,Gangrade Jayesh⁴

Affiliation:

1. Jaypee Institute of Information Technology,Department of CSE & IT,Noida,India

2. Thapar University,Department of CSE,Patiala,India

3. College of Agriculture GBPUAT,Department of Plant Pathology,Pantnagar,India

4. Manipal University,Department of CSE,Jaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440964/10440724/10441215.pdf?arnumber=10441215

Reference19 articles.

1. No Title;Food and Agriculture Organization of the United Nations,2021

2. Valorisation of table tomato crop by-products: Phenolic profiles and in vitro antioxidant and antimicrobial activities

3. Association of Tomato Leaf Curl New Delhi Virus, Betasatellite, and Alphasatellite with Mosaic Disease of Spine Gourd (Momordica dioica Roxb. Willd) in India

4. Crop Type Prediction: A Statistical and Machine Learning Approach

5. Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Assessment of Various Deep Learning Based Models for Multiclass Classification of Tomato Leaf Diseases;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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