Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Weihuang, Xu"'
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-15 (2023)
Abstract Purpose Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery. Methods We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover’s
Externí odkaz:
https://doaj.org/article/cda3f89de978402f96d3afd290f396b9
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:541-552
An essential aspect of texture analysis is the extraction of features that describe the distribution of values in local, spatial regions. We present a localized histogram layer for artificial neural networks. Instead of computing global histograms as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51be3a353cab37af7550b0e7273f81c5
https://doi.org/10.1109/tai.2021.3135804
https://doi.org/10.1109/tai.2021.3135804
Autor:
Yiming Cui, Weihuang Xu, Guohao Yu, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish B Rajurkar, Diane Rowland, Julie D Jastrow, Thomas E Juenger, Felix B Fritschi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc9c17c27bb8e8edd17ac841920dcc41
https://doi.org/10.22541/au.166733727.72654111/v1
https://doi.org/10.22541/au.166733727.72654111/v1
Autor:
Yiming Cui, Weihuang Xu, Guohao Yu, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish B Rajurkar, Diane Rowland, Julie D Jastrow, Thomas E Juenger, Felix B Fritschi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600e5072ad99c8cc17519cb0b11b03f1
https://doi.org/10.22541/au.166733727.74230827/v1
https://doi.org/10.22541/au.166733727.74230827/v1
Publikováno v:
Plant methods. 19(1)
Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery.We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover's Distance (STARSEED), for com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6bbedb8276cf7456a0626ed4e1aa934d
https://pubmed.ncbi.nlm.nih.gov/36604751
https://pubmed.ncbi.nlm.nih.gov/36604751
Publikováno v:
Water Resources Research. 58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37ae0871257cd4d88efbe37331276c2b
https://doi.org/10.1029/2021wr031065
https://doi.org/10.1029/2021wr031065
Root system architectures are complex, multidimensional, and challenging to characterize effectively for agronomic and ecological discovery. We propose a new method, Spatial and Texture Analysis of Root System architEcture with Earth mover's Distance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bf180eb670a59900d8e5daf2670638e
https://doi.org/10.21203/rs.3.rs-884472/v1
https://doi.org/10.21203/rs.3.rs-884472/v1
Purpose Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery. Methods We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover’s Distance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245ee6f11efd7824a595c7247f7c0197
https://doi.org/10.1101/2021.08.31.458446
https://doi.org/10.1101/2021.08.31.458446
Feature representation is an important aspect of remote-sensing based image classification. While deep convolutional neural networks are able to effectively amalgamate information, large numbers of parameters often make learned features inscrutable a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::965d8cb7a3a12cbf1544a0bb9a368463
http://arxiv.org/abs/2012.15764
http://arxiv.org/abs/2012.15764
Autor:
Weihuang Xu, Diane L. Rowland, Joshua Peeples, Romain M. Gloaguen, Hyen-Chung Chun, Zachary T. Brym
Publikováno v:
Rhizosphere. 21:100457
Precise knowledge on the impact of varying soil moisture and nutrient levels on the root system architecture of sesame is lacking. To that end, four non-dehiscent sesame cultivars (Sesaco32, 35, 38 and 40) were grown in rhizoboxes under four differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::616d3e376edea4cb82b739235a965fbe
https://doi.org/10.1016/j.rhisph.2021.100457
https://doi.org/10.1016/j.rhisph.2021.100457