Tea Leaf Disease Detection using Deep Learning Convolutional Neural Network Model-Reference-Cited by-同舟云学术

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Tea Leaf Disease Detection using Deep Learning Convolutional Neural Network Model

Published:2023-10-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

Kaur Gurjot¹,Sharma Neha¹,Gupta Rupesh¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393773.pdf?arnumber=10393773

Reference20 articles.

1. Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

2. Deep Learning Model for Soil Environment Quality Classification of Pu-erh Tea

3. Everyday Sustainability

4. Identification of tea leaf diseases by using an improved deep convolutional neural network

5. Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction–Blister Blight for Tea Plant

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. EfficientNet-B0-Based Classification of Pneumonic Lungs Using Chest X-Ray Dataset;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

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