Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ruiqi Du"'
Autor:
Ruiqi Du, Junying Chen, Youzhen Xiang, Ru Xiang, Xizhen Yang, Tianyang Wang, Yujie He, Yuxiao Wu, Haoyuan Yin, Zhitao Zhang, Yinwen Chen
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 3, Pp 726-740 (2024)
Soil salinization and water scarcity are main restrictive factors for irrigated agriculture development in arid regions. Knowing dynamics of soil water and salt content is an important antecedent in remediating salinized soils and optimizing irrigati
Externí odkaz:
https://doaj.org/article/9bff0c8c29a44b95ad0f4ade18d291f1
Autor:
Ruiqi Du, Youzhen Xiang, Junying Chen, Xianghui Lu, Fucang Zhang, Zhitao Zhang, Baocheng Yang, Zijun Tang, Xin Wang, Long Qian
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104081- (2024)
Understanding soil moisture dynamics is crucial for crop growth. The digital mapping of field soil moisture distribution provides valuable information for agricultural water management. The optical satellite data provides fine scale soil moisture inf
Externí odkaz:
https://doaj.org/article/179c555feebd47d6a460d04fdb8ac6c7
Autor:
Ruiqi Du, Youzhen Xiang, Fucang Zhang, Junying Chen, Hongzhao Shi, Hao Liu, Xiaofei Yang, Ning Yang, Xizhen Yang, Tianyang Wang, Yuxiao Wu
Publikováno v:
Agricultural Water Management, Vol 298, Iss , Pp 108856- (2024)
Accurate, timely, and continuous soil moisture information is helpful for crop stress diagnosis and irrigation management decision. OPtical TRApezoid Model (OPTRAM) based on optical satellite data has been proven to be an effective method for assessi
Externí odkaz:
https://doaj.org/article/a92e406c064d4db38398adfda5f0df06
Autor:
Xia Liu, Ruiqi Du, Youzhen Xiang, Junying Chen, Fucang Zhang, Hongzhao Shi, Zijun Tang, Xin Wang
Publikováno v:
Plants, Vol 13, Iss 21, p 2978 (2024)
Aboveground biomass (AGB) is a critical indicator for monitoring the crop growth status and predicting yields. UAV remote sensing technology offers an efficient and non-destructive method for collecting crop information in small-scale agricultural fi
Externí odkaz:
https://doaj.org/article/cd2cd35ebafb4546ac803787d4ab259d
Autor:
Ruiqi Du, Youzhen Xiang, Junying Chen, Xianghui Lu, Yuxiao Wu, Yujie He, Ru Xiang, Zhitao Zhang, Yinwen Chen
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116855- (2024)
The accumulation of soil salt becomes a worldwide widespread phenomenon, being a major threat to global production. As an environmental stress, soil salinity can reduce the vegetation photosynthetic activity. Solar-induced chlorophyll fluorescence (S
Externí odkaz:
https://doaj.org/article/1de18e39bf8341e8bdcb4ebf9fa3e9da
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1015 (2024)
The task of converting facial sketch images to facial images aims to generate reasonable and clear facial images from a given facial sketch image. However, the facial images generated by existing methods are often blurry and suffer from edge overflow
Externí odkaz:
https://doaj.org/article/31132e4d47d64b1aae8a9567a6a7db20
Autor:
Ruiqi Du, Zhijun Li, Youzhen Xiang, Tao Sun, Xiaochi Liu, Hongzhao Shi, Wangyang Li, Xiangyang Huang, Zijun Tang, Junsheng Lu, Junying Chen, Fucang Zhang
Publikováno v:
Plants, Vol 13, Iss 14, p 1903 (2024)
Drip fertigation (DF) is a widely used technology to increase grain yield with water and fertilizer conservation. However, the mechanism of high grain yield (GY) under DF is still unclear. Here, a four-year field experiment assessed the impacts of fo
Externí odkaz:
https://doaj.org/article/944ad6f7cbf149e981c99a65c7db5e1a
Autor:
Hao Liu, Youzhen Xiang, Junying Chen, Yuxiao Wu, Ruiqi Du, Zijun Tang, Ning Yang, Hongzhao Shi, Zhijun Li, Fucang Zhang
Publikováno v:
Plants, Vol 13, Iss 14, p 1901 (2024)
The leaf area index (LAI) is a crucial physiological indicator of crop growth. This paper introduces a new spectral index to overcome angle effects in estimating the LAI of crops. This study quantitatively analyzes the relationship between LAI and mu
Externí odkaz:
https://doaj.org/article/b288caaf14d2415094b536c2a23928ec
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5706 (2023)
Remote sensing (RS) scene classification has always attracted much attention as an elemental and hot topic in the RS community. In recent years, many methods using convolutional neural networks (CNNs) and other advanced machine-learning techniques ha
Externí odkaz:
https://doaj.org/article/06b48c8fdc2f4fbbb2b004ad23de77c6
Autor:
Chuang Xi, Ruiqi Du, Ren Wang, Yang Wang, Liying Hou, Mengqi Luan, Xuan Zheng, Hongyan Huang, Zhixin Liang, Xuehai Ding, Quanyong Luo, Chentian Shen
Publikováno v:
View, Vol 4, Iss 2, Pp n/a-n/a (2023)
Background: The BRAFV600E mutation is a valuable indicator for thyroid cancer diagnosis. This study aimed to develop a deep convolutional neural network (DCNN) model based on ultrasound images to predict the BRAFV600E mutation status of thyroid nodul
Externí odkaz:
https://doaj.org/article/b73aeea8d94749679df092183f8d37d1