Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jiuqing Dong"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Plant diseases pose significant threats to agriculture, impacting both food safety and public health. Traditional plant disease detection systems are typically limited to recognizing disease categories included in the training dataset, rende
Externí odkaz:
https://doaj.org/article/fa7e765c0ffd4abcabce60319feb53c0
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Previous work on plant disease detection demonstrated that object detectors generally suffer from degraded training data, and annotations with noise may cause the training task to fail. Well-annotated datasets are therefore crucial to build a robust
Externí odkaz:
https://doaj.org/article/28e7f0b3f80b4a56bfa3751738467a29
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant disease detection has made significant strides thanks to the emergence of deep learning. However, existing methods have been limited to closed-set and static learning settings, where models are trained using a specific dataset. This confinement
Externí odkaz:
https://doaj.org/article/134a0d4575b44232852ed61466bd9280
Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance
Autor:
Jiuqing Dong, Jaehwan Lee, Alvaro Fuentes, Mingle Xu, Sook Yoon, Mun Haeng Lee, Dong Sun Park
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improved the performance by ameliorating networks and optimizing the loss function. However, because of the va
Externí odkaz:
https://doaj.org/article/919bff7eea2b426182efbec70db78534
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12168 (2022)
Many young people have suffered from cervical spondylosis in recent years due to long-term desk work or unhealthy lifestyles. Early diagnosis is crucial for curing cervical spondylosis. The Cobb angle method is the most common method for assessing sp
Externí odkaz:
https://doaj.org/article/fef91b4eb3c8488685a6add5acbfbcd7
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1482 (2020)
Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recog
Externí odkaz:
https://doaj.org/article/b911a8242913449d9e2b9ab190fe744a
Publikováno v:
Medical physicsREFERENCES. 49(5)
Scoliosis is a type of spinal deformity, which is harmful to a person's health. In severe cases, it can trigger paralysis or death. The measurement of Cobb angle plays an essential role in assessing the severity of scoliosis.The aim of this paper is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a43d96e85a6e19be519f59358cf3a48
https://pubmed.ncbi.nlm.nih.gov/35194794
https://pubmed.ncbi.nlm.nih.gov/35194794