Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Wanxia YANG"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The leaves of Cyclocarya paliurus (Batalin) Iljinskaja, an endemic tree with a scattered distribution in subtropical China, are rich in flavonoids with beneficial, health-promoting properties. To understand the impact of environment and gene
Externí odkaz:
https://doaj.org/article/9e5ff23b985e4f9da9ec37a5a65dc082
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Few-shot learning (FSL) methods have made remarkable progress in the field of plant disease recognition, especially in scenarios with limited available samples. However, current FSL approaches are usually limited to a restrictive setting where base c
Externí odkaz:
https://doaj.org/article/caa1f6d4b3e74c4595138b00c5b666e7
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
To ensure national food security amidst severe water shortages, agricultural irrigation must be reduced through scientific innovation and technological progress. Efficient monitoring is essential for achieving water-saving irrigation and ensuring the
Externí odkaz:
https://doaj.org/article/d2d14299ce3744a8aaf5d3e97f8351fa
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1878 (2024)
The high performance of deep learning networks relies on large datasets and powerful computational resources. However, collecting enough diseased training samples is a daunting challenge. In addition, existing few-shot learning models tend to suffer
Externí odkaz:
https://doaj.org/article/29dc5faa129e4457ba541b473c84bf2f
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1903 (2024)
The knowledge within wheat production chain data has multiple levels and complex semantic relationships, making it difficult to extract knowledge from them. Therefore, this paper proposes a fine-grained knowledge extraction method for the wheat produ
Externí odkaz:
https://doaj.org/article/da6ab0155e304f6a85875489bfc43eef
Autor:
Yinquan Qu, Xulan Shang, Ziyan Zeng, Yanhao Yu, Guoliang Bian, Wenling Wang, Li Liu, Li Tian, Shengcheng Zhang, Qian Wang, Dejin Xie, Xuequn Chen, Zhenyang Liao, Yibin Wang, Jian Qin, Wanxia Yang, Caowen Sun, Xiangxiang Fu, Xingtan Zhang, Shengzuo Fang
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 3, Pp 455-469 (2023)
Cyclocarya paliurus is a relict plant species that survived the last glacial period and shows a population expansion recently. Its leaves have been traditionally used to treat obesity and diabetes with the well-known active ingredient cyclocaric acid
Externí odkaz:
https://doaj.org/article/a8e29d7723414fcda51f063e1aab6f07
Publikováno v:
Agriculture, Vol 14, Iss 3, p 457 (2024)
The extraction of entities and relationships is a crucial task in the field of natural language processing (NLP). However, existing models for this task often rely heavily on a substantial amount of labeled data, which not only consumes time and labo
Externí odkaz:
https://doaj.org/article/15f925cfac8446289fc17bc82c5952ae
Publikováno v:
Agronomy, Vol 14, Iss 1, p 90 (2023)
Potato diseases and pests have a serious impact on the quality and yield of potatoes, and timely prevention and control of potato diseases and pests is essential. A rich knowledge reserve of potato diseases and pests is one of the most important prev
Externí odkaz:
https://doaj.org/article/8d58b1a56dfa4192a1f4d3ca44d78a2d
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2876 (2023)
The high performance of deep learning networks relies mainly on massive data. However, collecting enough samples of crop disease is impractical, which significantly limits the intelligent diagnosis of diseases. In this study, we propose Heterogeneous
Externí odkaz:
https://doaj.org/article/9fd7af8cf07c40368827c51857ad1602
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Deep convolutional neural networks (DCNN) have shown promising performance in plant disease recognition. However, these networks cannot be deployed on resource-limited smart devices due to their vast parameters and computations. To address the issue
Externí odkaz:
https://doaj.org/article/eddd6a20fb6f44c2a64b3cb4a96a0d36