Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Biquan Zhao"'
Autor:
Biquan Zhao, Rituraj Khound, Deepak Ghimire, Yuzhen Zhou, Bijesh Maharjan, Dipak K. Santra, Yeyin Shi
Publikováno v:
Plant Phenome Journal, Vol 5, Iss 1, Pp n/a-n/a (2022)
Abstract Proso millet (Panicum miliaceum L.), one of the major cultivated millets, serves as a complement to major cereal crops due to its drought tolerance and low input demands. Timing of heading is one of the key agronomic traits associated with i
Externí odkaz:
https://doaj.org/article/38c8853e915e4e779325158749aae932
Autor:
Jian Zhang, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of til
Externí odkaz:
https://doaj.org/article/9c2e65fd75064a8582dfe2bd061a0c00
Autor:
Biquan Zhao, Jiating Li, P. Stephen Baenziger, Vikas Belamkar, Yufeng Ge, Jian Zhang, Yeyin Shi
Publikováno v:
Agronomy, Vol 10, Iss 11, p 1762 (2020)
Latest advances in unmanned aerial vehicle (UAV) technology and convolutional neural networks (CNNs) allow us to detect crop lodging in a more precise and accurate way. However, the performance and generalization of a model capable of detecting lodgi
Externí odkaz:
https://doaj.org/article/fcd69f1ec6e34f80b9f96356f041046c
Autor:
Biquan Zhao, Jian Zhang, Chenghai Yang, Guangsheng Zhou, Youchun Ding, Yeyin Shi, Dongyan Zhang, Jing Xie, Qingxi Liao
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based phenotyping offers a non-invasive and effective technology to obtain plant growth traits such as canopy cover and plant height in fields. Crop seedling
Externí odkaz:
https://doaj.org/article/b4b592c0dfeb4440aea87cb1a6ad8681
Autor:
Jian Zhang, Chenghai Yang, Biquan Zhao, Huaibo Song, Wesley Clint Hoffmann, Yeyin Shi, Dongyan Zhang, Guozhong Zhang
Publikováno v:
Remote Sensing, Vol 9, Iss 10, p 1054 (2017)
Consumer-grade cameras are being increasingly used for remote sensing applications in recent years. However, the performance of this type of cameras has not been systematically tested and well documented in the literature. The objective of this resea
Externí odkaz:
https://doaj.org/article/ca17d970a4a840dfa4f459da81ffeda2
Publikováno v:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2b6393904e4e13863cd1d2c60d41bfc
https://doi.org/10.1117/12.2623033
https://doi.org/10.1117/12.2623033
Autor:
Jota Fernandes, Pedro Henrique, Yijie Xiong, DaviesJenkins, Shelby L., Biquan Zhao, Drewnoski, Mary E.
Publikováno v:
Journal of Animal Science; 2024 Supplement, Vol. 102, p183-183, 2/3p
Investigate the potential of UAS-based thermal infrared imagery for maize leaf area index estimation
Publikováno v:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI.
Leaf area index (LAI) is an important phenotypic trait closely related to plant vigor and biomass. It is also a key parameter used in crop growth modeling. However, manually measuring LAI in the field can be slow and labor intensive. High resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c0bc830ccb6eb8808c471cb5663159
https://doi.org/10.1117/12.2586694
https://doi.org/10.1117/12.2586694
Publikováno v:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V.
Though unmanned aircraft systems (UAS) are widely used in agriculture, their current positioning accuracy in a radius of 0.5 to 2 meters is still too low to pinpoint a crop row or to precisely overlay temporal multi-source field maps together without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b14acbdd95a91ac19453265266e9a8f
https://doi.org/10.1117/12.2557899
https://doi.org/10.1117/12.2557899