MS-YOLOv5: Improved YOLOv5 Based on Multi-Head Self-Attention for Citrus Leaf Disease Severity Estimation-Reference-Cited by-同舟云学术

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MS-YOLOv5: Improved YOLOv5 Based on Multi-Head Self-Attention for Citrus Leaf Disease Severity Estimation

Published:2023-10-27 Issue: Volume: Page:85-91
ISSN:
Container-title:The 6th International Conference on Machine Learning and Machine Intelligence
language:
Short-container-title:

Author:

Qu Hongchun¹^ORCID,Bian Qianyi¹^ORCID

Affiliation:

1. Institute of Ecological Safety, Chongqing University of Posts and Telecommunications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635638.3635651

Reference20 articles.

1. Leaf Doctor: A New Portable Application for Quantifying Plant Disease Severity

2. Simulation modelling of potato virus Y spread in relation to initial inoculum and vector activity

3. A lightweight network for mummy berry disease recognition

4. Effects of plant and pollinator traits on the maintenance of a food deceptive species within a plant community

5. Madden, L. V., Hughes, G., Van Den Bosch, F. The study of plant disease epidemics (2007).

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