Elevating Crop Protection: Vision Transformer Models for Brassica Black Rot Detection-Reference-Cited by-同舟云学术

Elevating Crop Protection: Vision Transformer Models for Brassica Black Rot Detection

Published:2024-01-24 Issue: Volume:11 Page:1-5
ISSN:
Container-title:2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

Kukreja Vinay¹,Sharma Vikrant²,Sharma Rishabh¹

Affiliation:

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

2. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467176/10467219/10467942.pdf?arnumber=10467942

Reference17 articles.

1. Detection of Lethal Bronzing Disease in Cabbage Palms (Sabal palmetto) Using a Low-Cost Electronic Nose

2. An improved YOLOv5-based vegetable disease detection method

3. Airborne hyperspectral imaging for early diagnosis of kimchi cabbage downy mildew using 3D-ResNet and leaf segmentation

4. A weight optimization-based transfer learning approach for plant disease detection of New Zealand vegetables

5. Detection of fungal disease in cabbage images using adaptive thresholding technique compared with threshold technique;Alex;Rev. geintec-gestao Inov. e Tecnol.,2021

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