Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shi-ju GAO"'
Publikováno v:
Journal of Integrative Agriculture, Vol 12, Iss 4, Pp 630-637 (2013)
In 2010, Chinese maize yields increased from 961.5 kg ha−1 in 1949 to 5 453.8 kg ha−1. This increase is the result of genetic improvements, an increase in nitrogen application, and refinement of planting densities. The objective of this study was
Externí odkaz:
https://doaj.org/article/057e8dde597c4c498d1c74abbf1dba8f
Publikováno v:
Journal of Integrative Agriculture, Vol 12, Iss 3, Pp 426-435 (2013)
Experiment was conducted at the Gongzhuling Experimental Station of Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Jilin Province, China, during 2009–2010. Six representative varieties of maize (Baihe in the 1950s, Jidan 101
Externí odkaz:
https://doaj.org/article/e55f3043b95c48bf96913f2b09232f9b
Autor:
Shi-ju Gao, Yu-long Gao
Publikováno v:
Springer Series in Geomechanics and Geoengineering ISBN: 9789811524844
Recently, some shortcomings have exposed over the application and management of digital technologies of gas production with deliquification in Sulige gas field. Through summing up and analysing the challenges, experts have improved and promoted the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a053b0c6943f59d28758837b37aed5
https://doi.org/10.1007/978-981-15-2485-1_225
https://doi.org/10.1007/978-981-15-2485-1_225
Autor:
Ke-Ru Wang, Shi-Ju Gao, Jiang-Lu Chen, Wan-Ying Diao, Wang Fangyong, Xiao Chunhua, Bing Chen, Shao-Kun Li, Yin-Liang Lü
Publikováno v:
ACTA AGRONOMICA SINICA. 37:1039-1048
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7439104cc0573dca4cc54dd1d9606b
https://doi.org/10.3724/sp.j.1006.2011.01039
https://doi.org/10.3724/sp.j.1006.2011.01039
Publikováno v:
Agricultural Sciences in China. 10:860-866
To evaluate the effects of different conservation tillage modes on crop yield in various ecological regions, we interviewed peasant households in the Northeast China Plain, North China Plain, Chengdu Plain, and Northwest China Oasis, China, to analyz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac229f09c20f4c22b7f2a0f5e2a4a0e
https://doi.org/10.1016/s1671-2927(11)60072-2
https://doi.org/10.1016/s1671-2927(11)60072-2
Autor:
Jun-hua Bai, Rui-Zhi Xie, Yanli Lu, Shaokun Li, Wang Qiong, Chunhua Xiao, Xiao-Jun Li, Ke-Ru Wang, Hai-Zhen Tan, Shi-Ju Gao
Publikováno v:
Sensor Letters. 9:1069-1074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73852c5778fe78fa036de312314a1aa2
https://doi.org/10.1166/sl.2011.1383
https://doi.org/10.1166/sl.2011.1383
Publikováno v:
Agricultural Sciences in China. 9:1221-1229
The annual worldwide yield losses due to pests are estimated to be billions of dollars. Integrated pest management (IPM) is one of the most important components of crop production in most agricultural areas of the world, and the effectiveness of crop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::276f64176b40c16f5d00ed06a0cd5075
https://doi.org/10.1016/s1671-2927(09)60210-8
https://doi.org/10.1016/s1671-2927(09)60210-8
Autor:
Keru Wang, Shaokun Li, Wang Qiong, Rui-zhi Xie, Junhua Bai, Fang-yong Wang, Chun-hua Xiao, Shi-Ju Gao, Yanli Lu
Publikováno v:
IFIP Advances in Information and Communication Technology
4th Conference on Computer and Computing Technologies in Agriculture (CCTA)
4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.16-29, ⟨10.1007/978-3-642-18369-0_3⟩
Computer and Computing Technologies in Agriculture IV ISBN: 9783642183683
CCTA (4)
4th Conference on Computer and Computing Technologies in Agriculture (CCTA)
4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.16-29, ⟨10.1007/978-3-642-18369-0_3⟩
Computer and Computing Technologies in Agriculture IV ISBN: 9783642183683
CCTA (4)
International audience; The spectral signatures of crop canopies in the field provide much information relating morphological or quality characteristics of crops to their optical properties. This experiment was conducted using two winter-wheat (Triti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f30b40e1acbec48698da839c63067b29
https://hal.inria.fr/hal-01564865/document
https://hal.inria.fr/hal-01564865/document
Publikováno v:
Crop Modeling and Decision Support ISBN: 9783642011313
The methods of recognition and diagnosis of main maize leaf diseases using machine vision were studied in the paper. Threshold method was adopted to do image segmentation, and area-marking method was used calculating the num of disease as well as wip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbddf030ab3659257213af0dc055e65f
https://doi.org/10.1007/978-3-642-01132-0_35
https://doi.org/10.1007/978-3-642-01132-0_35
Autor:
Shaokun Li, Keru Wang, Chunhua Xiao, Yanli Lu, Rui-Zhi Xie, Xiao-Jun Li, Hai-Zhen Tan, Jun-hua Bai, Shi-Ju Gao
Publikováno v:
Crop Modeling and Decision Support ISBN: 9783642011313
The accurate information access and analysis of crop canopy are the basis of quantitative research on crop information. This experiment was conducted using two winter-wheat (Triticum aestivum)cultivars P7(leaf erect) and ZY9844(leaf horizontal). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::058b7a8085fefc202810f5f006e12e8c
https://doi.org/10.1007/978-3-642-01132-0_9
https://doi.org/10.1007/978-3-642-01132-0_9