Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zhaopeng Fu"'
Autor:
Zhaopeng Fu, Rui Zhang, Jiayi Zhang, Ke Zhang, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Establishing the universal critical nitrogen (NC) dilution curve can assist in crop N diagnosis at the regional scale. This study conducted 10-year N fertilizer experiments in Yangtze River Reaches to establish universal NC dilution curves for Japoni
Externí odkaz:
https://doaj.org/article/fa4c30cfc5e247aab7776fa47cee4e16
Autor:
Jie Jiang, Cuicun Wang, Hui Wang, Zhaopeng Fu, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Publikováno v:
Sensors, Vol 21, Iss 16, p 5579 (2021)
The accurate estimation and timely diagnosis of crop nitrogen (N) status can facilitate in-season fertilizer management. In order to evaluate the performance of three leaf and canopy optical sensors in non-destructively diagnosing winter wheat N stat
Externí odkaz:
https://doaj.org/article/ca5e3e79dc2544c4a0a47442c10d0cc5
Autor:
Zhaopeng Fu, Jie Jiang, Yang Gao, Brian Krienke, Meng Wang, Kaitai Zhong, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 508 (2020)
Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth and prediction of grain yield. Unmanned aerial vehicle (UAV)-bas
Externí odkaz:
https://doaj.org/article/fea8f633451b4cc68c44200fa292ff50
Autor:
Jiayi Zhang, Zhaopeng Fu, Ke Zhang, Jiayu Li, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Publikováno v:
Computers and Electronics in Agriculture. 209:107858
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebba31d14bff7799c9f7151dd586be40
https://doi.org/10.1016/j.compag.2023.107858
https://doi.org/10.1016/j.compag.2023.107858
Autor:
Ruhua Lu, Pei Zhang, Zhaopeng Fu, Jie Jiang, Jiancheng Wu, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Publikováno v:
Science of The Total Environment. 871:161967
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0abbb45528e938136cbef6f86037049
https://doi.org/10.1016/j.scitotenv.2023.161967
https://doi.org/10.1016/j.scitotenv.2023.161967
Autor:
Meng Wang, Yang Gao, Kaitai Zhong, Brian Krienke, Xiaojun Liu, Qiang Cao, Weixing Cao, Jie Jiang, Yongchao Tian, Zhaopeng Fu, Yan Zhu
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 508 (2020)
Remote Sensing; Volume 12; Issue 3; Pages: 508
Remote Sensing; Volume 12; Issue 3; Pages: 508
Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth and prediction of grain yield. Unmanned aerial vehicle (UAV)-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b590420e14c63daf860a1d2db5bf6032
https://www.mdpi.com/2072-4292/12/3/508
https://www.mdpi.com/2072-4292/12/3/508
Autor:
Yang Gao, Hui Xi, Yan Zhu, Yu Shanshan, Jiayi Zhang, Xiaojun Liu, Zhaopeng Fu, Ruhua Lu, Hengbiao Zheng, Weixing Cao
Publikováno v:
European Journal of Agronomy. 132:126405
Nitrogen is an essential element of wheat growth and grain quality. Leaf nitrogen content (LNC), a critical monitoring indicator of crop nitrogen status, plays a reference role for later estimations of grain protein content (GPC). Developments in unm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1b3e1af103e54c3d2b624a117197f9
https://doi.org/10.1016/j.eja.2021.126405
https://doi.org/10.1016/j.eja.2021.126405
Autor:
Cuicun Wang, Qiang Cao, Hui Wang, Xiaojun Liu, Jie Jiang, Yongchao Tian, Zhaopeng Fu, Yan Zhu, Weixing Cao
Publikováno v:
Sensors, Vol 21, Iss 5579, p 5579 (2021)
Sensors
Volume 21
Issue 16
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 16
Sensors (Basel, Switzerland)
The accurate estimation and timely diagnosis of crop nitrogen (N) status can facilitate in-season fertilizer management. In order to evaluate the performance of three leaf and canopy optical sensors in non-destructively diagnosing winter wheat N stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::098486a704f467995b3579d634e319a5
https://doi.org/10.3390/s21165579
https://doi.org/10.3390/s21165579