Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Qingqing Hong"'
Autor:
Ting Zhang, Jikui Zhu, Fengkui Zhang, Shijie Zhao, Wei Liu, Ruohong He, Hongqiang Dong, Qingqing Hong, Changwei Tan, Ping Li
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
BackgroundCotton pests have a major impact on cotton quality and yield during cotton production and cultivation. With the rapid development of agricultural intelligence, the accurate classification of cotton pests is a key factor in realizing the pre
Externí odkaz:
https://doaj.org/article/1e939c70342c4c2d97c0805e10fa223f
Autor:
Qingqing Hong, Wei Liu, Yue Zhu, Tianyu Ren, Changrong Shi, Zhixin Lu, Yunqin Yang, Ruiting Deng, Jing Qian, Changwei Tan
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Accurate wheat ear counting is one of the key indicators for wheat phenotyping. Convolutional neural network (CNN) algorithms for counting wheat have evolved into sophisticated tools, however because of the limitations of sensory fields, CNN is unabl
Externí odkaz:
https://doaj.org/article/09c00977dec549c0880a671b717b3beb
Autor:
Qingqing Hong, Yue Zhu, Wei Liu, Tianyu Ren, Changrong Shi, Zhixin Lu, Yunqin Yang, Ruiting Deng, Jing Qian, Changwei Tan
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
In order to effectively support wheat breeding, farmland ridge segmentation can be used to visualize the size and spacing of a wheat field. At the same time, accurate ridge information collecting can deliver useful data support for farmland managemen
Externí odkaz:
https://doaj.org/article/bcec38ad93364a369347f3250c5e638f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 12, p 505 (2023)
Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral–spatial information. While convolutional neural networks (CNNs) have notably enhanced HSI classification, they often generate redundant spatial features. To addres
Externí odkaz:
https://doaj.org/article/f5c06dbf8dd647d1bceb0fba0c8035de
Autor:
Qingqing Hong, Dongdong Que, Chongbin Zhong, Guanlin Huang, Weicheng Zhai, Deshu Chen, Jing Yan, Pingzhen Yang
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 155, Iss , Pp 113639- (2022)
Background and aims: TMAO is a microbiota-dependent metabolite associated with increased risk of various cardiovascular diseases. However, the relationship between TMAO and vascular injury-related neointimal hyperplasia is unclear. This study aimed t
Externí odkaz:
https://doaj.org/article/4eee5a6a85264cd79dafd128a5281360
Autor:
Chen Gu, Shu Ji, Xiaobo Xi, Zhenghua Zhang, Qingqing Hong, Zhongyang Huo, Wenxi Li, Wei Mao, Haitao Zhao, Ruihong Zhang, Bin Li, Changwei Tan
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Yield is an important indicator in evaluating rice planting, and it is the collective result of various factors over multiple growth stages. To achieve a large-scale accurate prediction of rice yield, based on yield estimation models using a single g
Externí odkaz:
https://doaj.org/article/c270075cf42940ebbce02addcc47702a
Publikováno v:
Reproductive Biology and Endocrinology, Vol 19, Iss 1, Pp 1-10 (2021)
Abstract Background Low serum progesterone on the day of frozen embryo transfer (FET) is associated with diminished pregnancy rates in artificial endometrium preparation cycles, but there is no consensus on whether strengthened luteal phase support (
Externí odkaz:
https://doaj.org/article/662e4537d7404df2822c7d8a643ea646
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1210 (2023)
Autonomous driving has received enormous attention from the academic and industrial communities. However, achieving full driving autonomy is not a trivial task, because of the complex and dynamic driving environment. Perception ability is a tough cha
Externí odkaz:
https://doaj.org/article/64398472d48c40a0bdb6900535169268
Autor:
Qingqing Hong, Xinyi Zhong, Weitong Chen, Zhenghua Zhang, Bin Li, Hao Sun, Tianbao Yang, Changwei Tan
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5902 (2022)
In order to categorize feature classes by capturing subtle differences, hyperspectral images (HSIs) have been extensively used due to the rich spectral-spatial information. The 3D convolution-based neural networks (3DCNNs) have been widely used in HS
Externí odkaz:
https://doaj.org/article/a0c978a3780c4dd29c264b029ff520e6
Autor:
Qingqing Hong, Ling Jiang, Zhenghua Zhang, Shu Ji, Chen Gu, Wei Mao, Wenxi Li, Tao Liu, Bin Li, Changwei Tan
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3481 (2022)
Detection of the Fusarium head blight (FHB) is crucial for wheat yield protection, with precise and rapid FHB detection increasing wheat yield and protecting the agricultural ecological environment. FHB detection tasks in agricultural production are
Externí odkaz:
https://doaj.org/article/f9060adef7924a99a62ad390ea9f2304