Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Kuan-Chong Ting"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant phenotyping and production management are emerging fields to facilitate Genetics, Environment, & Management (GEM) research and provide production guidance. Precision indoor farming systems (PIFS), vertical farms with artificial light (aka plant
Externí odkaz:
https://doaj.org/article/15c9ebf1e1e14fb7ae873c587c1b357d
Autor:
Haifeng Li, Renhai Zhong, Zhenhong Du, Jialu Xu, Jing Gao, José Vicente Caixeta-Filho, Tao Lin, Shaowen Wang, Luis F Rodriguez, Henrique Vinicius de Holanda, Hao Jiang, Kuan Chong Ting, Yibin Ying, Xuhui Wang
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Brazilian grain production increased more than fourfold from 1980 to 2016. The grain boom was achieved primarily by soybean–corn double cropping and cropland expansion—both show changing spatiotemporal patterns since the 1980s. Here, we quantifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::435641a479f2036d41da9a02fcd34976
https://doi.org/10.1038/s43016-021-00255-3
https://doi.org/10.1038/s43016-021-00255-3
Publikováno v:
Sensing, Data Managing, and Control Technologies for Agricultural Systems ISBN: 9783031038334
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11ebdc962e1442ced77fd517d71a2592
https://doi.org/10.1007/978-3-031-03834-1_1
https://doi.org/10.1007/978-3-031-03834-1_1
Publikováno v:
Sensing, Data Managing, and Control Technologies for Agricultural Systems ISBN: 9783031038334
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dc0d8c039d850103b3b9e6507ddb7b9
https://doi.org/10.1007/978-3-031-03834-1_5
https://doi.org/10.1007/978-3-031-03834-1_5
Autor:
Luis F Rodriguez, Kuan Chong Ting, Zhenhong Du, Jialu Xu, Hao Jiang, Renhai Zhong, Sensen Wu, Tao Lin, Xiqiang Shen
Publikováno v:
GCB Bioenergy, Vol 11, Iss 10, Pp 1146-1158 (2019)
China has a huge resource potential for biomass‐based renewable energy development, but the resources of field residues are still not effectively used. Rice, maize, and wheat made up 89% of staple crop production in China in 2009. A comprehensive a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abc3a7d0238da388a0a8e1ec229f9ad5
https://doaj.org/article/22fd1577b6ed4eaea69f81b7e3d2db47
https://doaj.org/article/22fd1577b6ed4eaea69f81b7e3d2db47
Autor:
M. E. Tumbleson, Tao Lin, Yangfeng Ouyang, Wei-Ting Liao, Luis F Rodriguez, Kuan Chong Ting, Yogendra Shastri
Publikováno v:
Transactions of the ASABE. 62:1489-1508
HighlightsAn optimization model, called BioGrain, was developed to optimize grain harvesting decisions.The results highlight the tradeoffs between grain losses and drying costs for profit maximization.The optimization model can provide decision suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d473dcaa633998036ab9a291d48543d5
https://doi.org/10.13031/trans.13135
https://doi.org/10.13031/trans.13135
Autor:
Jie Hu, Yibin Ying, Xuan Luo, Juntao Li, Youchao Zhang, Jie Yang, Wenjun Yang, Kuan Chong Ting, Jinfan Xu, Tao Lin, Xiaolei Zhang
Publikováno v:
Computers and Electronics in Agriculture. 192:106584
Spectroscopic techniques have been widely applied in agricultural applications. The development of calibration transfer is promising for the robust analysis of spectral data collected by varying instruments. The reliance on standard samples for stand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4656d388648a1b94535c4fa33195fe4
https://doi.org/10.1016/j.compag.2021.106584
https://doi.org/10.1016/j.compag.2021.106584
Autor:
Kelly R. Thorp, Kuan Chong Ting, Zahra Mojgan Shad, Redmond R. Shamshiri, Cornelia Weltzien, Fatemeh Kalantari, Desa Ahmad, Ibrahim A. Hameed
Publikováno v:
International Journal of Agricultural and Biological Engineering
Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. The advances and improveme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b637e3a3fad7c62e36e9ee11132b0f
https://doi.org/10.25165/j.ijabe.20181101.3210
https://doi.org/10.25165/j.ijabe.20181101.3210
Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems. The tedious farming tasks had been taken over by agricultural machines in last century, in new millennium, compute
Autor:
Jingfeng Huang, Haifeng Li, Tao Lin, Jie Yang, Yibin Ying, Xingguo Xiong, Jinfan Xu, Kuan Chong Ting
Publikováno v:
Remote Sensing of Environment. 264:112599
Multi-temporal deep learning approaches have exhibited excellent classification performance in large-scale crop mapping. These approaches efficiently and automatically transform remote sensing time series into high-dimensional feature representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4872638b5a03fe4490d3b588611b8275
https://doi.org/10.1016/j.rse.2021.112599
https://doi.org/10.1016/j.rse.2021.112599