Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Qinlin Xiao"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Verticillium wilt (VW) is often referred to as the cancer of cotton and it has a detrimental effect on cotton yield and quality. Since the root system is the first to be infested, it is feasible to detect VW by root analysis in the early stages of th
Externí odkaz:
https://doaj.org/article/b4da9dc85c3d4cc59c77be96bab2540a
Publikováno v:
Journal of Advanced Research, Vol 35, Iss , Pp 215-230 (2022)
Background: Linking phenotypes and genotypes to identify genetic architectures that regulate important traits is crucial for plant breeding and the development of plant genomics. In recent years, genome-wide association studies (GWASs) have been appl
Externí odkaz:
https://doaj.org/article/e8c69562f0774f32884feca84b7939b8
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Deep learning and computer vision have become emerging tools for diseased plant phenotyping. Most previous studies focused on image-level disease classification. In this paper, pixel-level phenotypic feature (the distribution of spot) was analyzed by
Externí odkaz:
https://doaj.org/article/79d92d79d0174998ab66c5ae0670e99c
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/c6a3a0438adb410688db7b4928103852
Autor:
Qinlin Xiao, Na Wu, Wentan Tang, Chu Zhang, Lei Feng, Lei Zhou, Jianxun Shen, Ze Zhang, Pan Gao, Yong He
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Leaf nitrogen concentration (LNC) is a critical indicator of crop nutrient status. In this study, the feasibility of using visible and near-infrared spectroscopy combined with deep learning to estimate LNC in cotton leaves was explored. The samples w
Externí odkaz:
https://doaj.org/article/be60f7ea6a4946aeb0c2dc4c83a33495
Autor:
Chu Zhang, Lei Zhou, Qinlin Xiao, Xiulin Bai, Baohua Wu, Na Wu, Yiying Zhao, Junmin Wang, Lei Feng
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
Herbicides and heavy metals are hazardous substances of environmental pollution, resulting in plant stress and harming humans and animals. Identification of stress types can help trace stress sources, manage plant growth, and improve stress-resistant
Externí odkaz:
https://doaj.org/article/e01c6e32b49642b3b80e921d1a93a7ee
Autor:
Qinlin Xiao, Wentan Tang, Chu Zhang, Lei Zhou, Lei Feng, Jianxun Shen, Tianying Yan, Pan Gao, Yong He, Na Wu
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
Rapid determination of chlorophyll content is significant for evaluating cotton’s nutritional and physiological status. Hyperspectral technology equipped with multivariate analysis methods has been widely used for chlorophyll content detection. How
Externí odkaz:
https://doaj.org/article/e2dd78f751004aedad023e8aaa3edef2
Publikováno v:
Sensors, Vol 20, Iss 17, p 4940 (2020)
Radix Astragali is a prized traditional Chinese functional food that is used for both medicine and food purposes, with various benefits such as immunomodulation, anti-tumor, and anti-oxidation. The geographical origin of Radix Astragali has a signifi
Externí odkaz:
https://doaj.org/article/13b0823c401940dd898fe764c693fb41
Publikováno v:
Molecules, Vol 25, Iss 7, p 1651 (2020)
Sodium pyrosulfite is a browning inhibitor used for the storage of fresh-cut potato slices. Excessive use of sodium pyrosulfite can lead to sulfur dioxide residue, which is harmful for the human body. The sulfur dioxide residue on the surface of fres
Externí odkaz:
https://doaj.org/article/cd177d56d18f4f49bbe84e99110ab3d3
Publikováno v:
Foods, Vol 9, Iss 1, p 94 (2020)
Color index and water content are important indicators for evaluating the quality of fresh-cut potato tuber slices. In this study, hyperspectral imaging combined with multivariate analysis was used to detect the color parameters (L*, a*, b*, Browning
Externí odkaz:
https://doaj.org/article/42b18c72425649f2b0a4f451f7435ec0