Výsledky vyhledávání

A Survey On Image Semantic Segmentation Methods With Convolutional Neural Network

Autor: Fude Cao, Qinghai Bao

Publikováno v: 2020 International Conference on Communications, Information System and Computer Engineering (CISCE).

Image semantic segmentation is an important branch in the field of AI. Traditional semantic segmentation algorithms are mostly specific to the problem, and there is no universal segmentation algorithm suitable for all images. But deep learning approa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1a2a86a6f484c227c1bc6370ef5be3f
https://doi.org/10.1109/cisce50729.2020.00103

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Mowing succession of species composition is determined by plant growth forms, not photosynthetic pathways in Leymus chinensis grassland of Inner Mongolia

Autor: Taogetao Baoyin, Qinghai Bao, Hugjiltu Minggagud, Yankai Zhong, Frank Yonghong Li

Publikováno v: Landscape Ecology. 30:1795-1803

Context Previous studies demonstrate that mowing inhibits tall species but facilitates short species and C4 species. However, as each species has a growth-form and simultaneously a C-pathway, it is important to know whether the effects of mowing on a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d7b8c0f0fdac38452179ff604c1cf5c
https://doi.org/10.1007/s10980-015-0249-6

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[Effects of different cutting system on main typical steppe populations in Inner Mongolia]

Autor: Qinghai, Bao, Togeto, Baoyin, Yankai, Zhong, Wei, Sun, Meiling, Liu

Publikováno v: Ying yong sheng tai xue bao = The journal of applied ecology. 16(12)

Twelve main typical steppe populations in Inner Mongolia were selected to investigate the effects of different cutting system on their aboveground standing biomass. The results showed that the test populations could be categorized into 3 groups, i.e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::99bb373ce069a389ff5bfd57554ca104
https://pubmed.ncbi.nlm.nih.gov/16515182

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Effects of mowing regimes and climate variability on hay production of Leymus chinensis (Trin.) Tzvelev grassland in northern China

Autor: Yankai Zhong, Frank Yonghong Li, Qinghai Bao, Taogetao Baoyin, Hugjiltu Minggagud

Publikováno v: The Rangeland Journal. 36:593

Leymus chinensis (Trin.) Tzvelev grassland is the most widely distributed native steppe vegetation type suitable for haymaking in the semiarid pastoral regions of north-east Asia. The long-term effects of four mowing regimes (mowing once a year, twic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::383e49b1921bb053f8caafd355f5cb7b
https://doi.org/10.1071/rj13088

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