Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Daokuo Ge"'
Autor:
Hongxin Cao, Daokuo Ge, Wenyu Zhang, Weixin Zhang, Jing Cao, Wanjie Liang, Shouli Xuan, Yan Liu, Qian Wu, Chuanliang Sun, Lingling Zhang, Ji‘an Xia, Yongxia Liu, Yuli Chen, Yanbin Yue, Zhiyou Zhang, Qian Wan, Yue Pan, Xujie Han, Fei Wu
Publikováno v:
智慧农业, Vol 2, Iss 1, Pp 147-162 (2020)
Agricultural models, agricultural artificial intelligent, and data analysis technology, etc., exist in whole processes of information perceiving, transmission, processing and control for smart agriculture， thus they are the core technology of smart
Externí odkaz:
https://doaj.org/article/922033d97a8849ddbeaf921ce15a4dc2
Autor:
Ji'an Xia, Yu Wang Yang, Hong Xin Cao, Weixin Zhang, Lei Xu, Qian Wan, Yaqi Ke, Wenyu Zhang, Daokuo Ge, Bo Huang
Publikováno v:
IEEE Access, Vol 6, Pp 57663-57675 (2018)
This paper aims to evaluate the feasibility and performance of two related applications in agricultural big data: hyperspectral imaging and parallel computing. After selecting two oilseed rape varieties (NingYou 22 and NingZa 19) as the objects of st
Externí odkaz:
https://doaj.org/article/3095fe772126489f891868dff4d1b5d1
Autor:
Hongxin Cao, Bo Huang, WenYu Zhang, Lei Xu, Ji'An Xia, Yuwang Yang, Daokuo Ge, Qian Wan, Weixin Zhang, Ke Yaqi
Publikováno v:
Computers and Electronics in Agriculture. 159:59-68
The objective of this study was to investigate the utility of hyperspectral images (HSIs) for the detection of oilseed rape waterlogging stress. We assessed two oilseed rape varieties, the non-hybrid NingYou 22 (NY 22) and hybrid NingZa 19 (NZ 19), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708682d5e0d6be89e8ab33221cec9834
https://doi.org/10.1016/j.compag.2019.02.022
https://doi.org/10.1016/j.compag.2019.02.022
Autor:
YaQi Ke, Daokuo Ge, Yuwang Yang, Ji'An Xia, WenYu Zhang, Hongxin Cao, Sijun Ge, Chen Guangwei
Publikováno v:
Engineering in Agriculture, Environment and Food. 11:84-89
In China, the crop diseases and insect pests are the main causes of output reduction and quality decline of crops. Through inspection of crop insects, we can prevent the pests in a timely and effective manner. The visible-near infrared (VNIR) spectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc0d62f27cf395ac9ba3e9e63e4e0de
https://doi.org/10.1016/j.eaef.2018.02.004
https://doi.org/10.1016/j.eaef.2018.02.004
Publikováno v:
Computers and Electronics in Agriculture. 145:27-34
This paper evaluates the feasibility of applying cloud computing technology for spectrum-based classification of apple chilling injury. The reflectance spectra of Fuji apples with four different levels of chilling injury (none, slight, medium, and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c8b02b0e500da73e42a5c9b2db1dc3
https://doi.org/10.1016/j.compag.2017.12.012
https://doi.org/10.1016/j.compag.2017.12.012
Autor:
WenYu Zhang, Hong Liu, Yuwang Yang, Hongxin Cao, GuangYong Hu, Weixin Zhang, Ji'An Xia, Daokuo Ge
Publikováno v:
Computers and Electronics in Agriculture. 181:105966
The objective of this study was to evaluate the potential of cloud computing technology for classifying protected tomato plants under different watering treatments. Two tomato varieties, HeZuo 903 and WanShiRuYi, were used in protected cultivation fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26699e0b34c102cf3158dfc921a2c498
https://doi.org/10.1016/j.compag.2020.105966
https://doi.org/10.1016/j.compag.2020.105966
Autor:
Hongxin Cao, Qian Wu, Wanjie Liang, Yan Liu, Puchuan Tang, Xujie Han, Wenyu Zhang, Fei Wu, Shouli Xuan, Yuli Chen, Jim Hanan, Yue Pan, Weixin Zhang, Lingling Zhang, Chun-lin Shi, Ji'An Xia, Daokuo Ge, Jing Cao, Chuanliang Sun
Publikováno v:
Field Crops Research. 259:107966
Biomass partitioning is a pivotal part of the function-structure feedback mechanism. To improve the simulation of aboveground biomass partitioning in growth models for rapeseed (Brassica napus L.), we developed an aboveground biomass partitioning coe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e7b629b25b85b565121fb25b2a7798b
https://doi.org/10.1016/j.fcr.2020.107966
https://doi.org/10.1016/j.fcr.2020.107966
Autor:
David B. Hannaway, Xiufang Wei, Yanbin Yue, Wenyu Zhang, Tai-lin Bao, Yongxia Liu, Weixin Zhang, Daokuo Ge, Yan Liu, Aanqing Yao, Hongxin Cao, Dawei Zhu, Ping-ping Tian
Publikováno v:
2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA).
The objectives of this paper were to examine cultivar differences of aboveground rice plant morphology and structure at the early tillering stage, and analyze its potential correlations with yield. The 4 rice cultivars, Liangyou108 (hybrid long-grain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e7f8f2609dc8ba00bf9615981ccca3f
https://doi.org/10.1109/fspma.2016.7818283
https://doi.org/10.1109/fspma.2016.7818283
Autor:
Yan Liu, Yongxia Liu, Daokuo Ge, Chunhuan Feng, Weitao Chen, Chuwei Song, Sijun Ge, Weixin Zhang, Wenyu Zhang, Hongxin Cao
Publikováno v:
2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA).
To quantify the relationships between rapeseed stem and rachis geometric parameters and the corresponding organ biomass, we presents a biomass-based model of stem and rachis geometric parameters of rapeseed (Brassica napus L.), including biomass-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89a726d71fb5a561f00ef666399cca6b
https://doi.org/10.1109/fspma.2016.7818312
https://doi.org/10.1109/fspma.2016.7818312
Autor:
Yan Liu, Weixin Zhang, Weitao Chen, Hongxin Cao, Chunhuan Feng, Wenyu Zhang, Daokuo Ge, Chuwei Song
Publikováno v:
Computer and Computing Technologies in Agriculture IX ISBN: 9783319483566
CCTA (1)
CCTA (1)
Primary ramification morphogenesis has a significant influence on the yield of rapeseed. In order to quantify the relationship between rapeseed architecture indices and the organ biomass, a rapeseed primary ramification structural model based on biom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d56fea5b1d90ca73579efc8109a4782
https://doi.org/10.1007/978-3-319-48357-3_47
https://doi.org/10.1007/978-3-319-48357-3_47
