Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Long-lian Zhao"'
Autor:
Ning Zhang, Peng-cheng Li, Hubin Liu, Tian-cheng Huang, Han Liu, Yu Kong, Zhi-cheng Dong, Yu-hui Yuan, Long-lian Zhao, Jun-hui Li
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-11 (2021)
Abstract Background Realizing imaging detection of water and nitrogen content in different regions of plant leaves in-site and real-time can provide an efficient new technology for determining crop drought resistance and nutrient regulation mechanism
Externí odkaz:
https://doaj.org/article/5531b010ffdd492a9bf381e4e847a0a0
Publikováno v:
Spectroscopy Letters. 54:632-644
Building an excellent model is crucial for the near-infrared technology used in various fields. Full-spectrum model building has negative influence on the predictive ability of models owing to the ...
Autor:
Long-Lian Zhao, Peng-Cheng Li, Jun-Hui Li, Yu Kong, Ning Zhang, Yu-Hui Yuan, Zhi-Cheng Dong, Han Liu, Hubin Liu, Tian-Cheng Huang
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-11 (2021)
Plant Methods
Plant Methods
Background Realizing imaging detection of water and nitrogen content in different regions of plant leaves in-site and real-time can provide an efficient new technology for determining crop drought resistance and nutrient regulation mechanisms, or for
Autor:
Zhenyu Sun, Fei Xu, Yaqiong Zhao, Long-Lian Zhao, Jun-hui Li, Yuli Song, Haiguang Wang, Feng Qin, Jinxing Ma
Publikováno v:
Journal of Spectroscopy, Vol 2019 (2019)
Identifying plant pathogens for disease diagnosis and disease control strategy making is of great significance. In this study, based on near-infrared spectroscopy, a method for identifying three kinds of pathogens causing wheat smuts, including Tille
Autor:
Kai, Li, Xue-ying, Li, Li-li, Luan, Wen-yan, Hu, Yu-heng, Wang, Jing-ming, Li, Jun-hui, Li, Cai-lian, Lao, Long-lian, Zhao
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 36(11)
The conventional qualitative analysis of near infrared spectroscopy (NIR) commonly uses one single classification model. This paper focused on the fusion of multiple classifiers based on different single classifiers by using the fused classifier to d
Autor:
Xue-ying, Li, Ru-xin, Shu, Li-li, Luan, Kai, Li, Kai, Yang, Jun-hui, Li, Long-lian, Zhao, Ye-hua, Zhang, Lu-da, Zhang
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 36(4)
In the process of practical production, it is important to accurately analyze the proportion of mixed samples with high speed, which plays a great role for quality control and formulation design in food and agricultural processing. Traditional soluti
Autor:
Long-Lian Zhao, Zhong-Yi Wang, Zhilong Xu, Cheng Wang, Dong-Jie Zhao, Xiaojun Qiao, Ruifeng Hou, Lan Huang
Publikováno v:
Computers and Electronics in Agriculture. 71:S54-S59
Electrical signals of a plant leaf measured using surface recording are mixed signals which involve the electrical activities of the epidermis cells, guard cells, and mesophyll cells. Blind source separation (BSS) is a general signal processing appro
Publikováno v:
Biosystems Engineering. 103:1-11
We have developed a multi-channel system for simultaneous monitoring of multiple environmental factors and electrical signals in cucumber plants in the greenhouse. The system includes a special sensor, which is both sensitive and reliable for long-te
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 35(6)
To achieve the traceability of wine varieties, a method was proposed to fuse Near-infrared (NIR) spectra and cyclic voltammograms (CV) which contain different information using D-S evidence theory. NIR spectra and CV curves of three different varieti
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 35(2)
Wheat stripe rust caused by Puccinia striiformis f. sp. tritici, is an economically important disease in the world. It is of great significance to assess disease severity of wheat stripe rust quickly and accurately for monitoring and controlling the