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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [25]
深海科学与工程研究所 [3]
合肥物质科学研究院 [2]
化学研究所 [1]
采集方式
OAI收割 [31]
内容类型
期刊论文 [31]
发表日期
2024 [2]
2023 [3]
2022 [9]
2021 [5]
2020 [7]
2019 [4]
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Identification of a novel anti-ROR1 nanobody through phage display and its biochemical characterization
期刊论文
OAI收割
BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, 2024
作者:
Kang, Li
;
Dong, Yingkui
;
Wang, Wanxue
;
Li, Zehua
;
Wang, Yizhuo
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/20
nanobody
phage display
ROR1
Wnt5a
Linkages of soil and microbial stoichiometry to crop nitrogen use efficiency: Evidence from a long-term nitrogen addition experiment
期刊论文
OAI收割
CATENA, 2024, 卷号: 240, 页码: 107961
作者:
Gong, Huarui
;
Li, Jing
;
Liu, Zhen
;
Hou, Ruixing
;
Zhang, Yitao
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/06/17
Nitrogen fertilizer application
Stoichiometric imbalance
Eco-enzymatic stoichiometry
Phospholipid fatty acid
Nitrogen use efficiency
Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 124, 页码: 103494
作者:
Peng, Jinbang
;
Wang, Dongliang
;
Zhu, Wanxue
;
Yang, Ting
;
Liu, Zhen
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/11/06
Yield
Phenotypic features
Remote sensing
Deep/machine learning
Unmanned Aerial Vehicle (UAV)
Influence of Crop Residue Management and Soil Tillage Method on Reducing the Carbon Footprint of Winter Wheat Production in the Salt-Affected Arable Land in the North China Plain
期刊论文
OAI收割
AGRONOMY-BASEL, 2023, 卷号: 13, 期号: 4, 页码: 16
作者:
Li, Binbin
;
Wu, Lanfang
;
Zhu, Wanxue
;
Qiao, Chunlian
;
Zhang, Jin
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2023/10/09
carbon footprint
tillage
crop residue management
winter wheat
salt-affected arable land
UAV Flight Height Impacts on Wheat Biomass Estimation via Machine and Deep Learning
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 7471-7485
作者:
Zhu, Wanxue
;
Rezaei, Ehsan Eyshi
;
Nouri, Hamideh
;
Sun, Zhigang
;
Li, Jing
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/09/07
Agriculture
image resolution
image texture analysis
remote sensing
spectral analysis
Plant Density Estimation Using UAV Imagery and Deep Learning
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 20
作者:
Peng, Jinbang
;
Rezaei, Ehsan Eyshi
;
Zhu, Wanxue
;
Wang, Dongliang
;
Li, He
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/01/09
plant density
remote sensing
deep learning
unmanned aerial vehicle (UAV)
wheat
tillering
Plant Density Estimation Using UAV Imagery and Deep Learning
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 20
作者:
Peng, Jinbang
;
Rezaei, Ehsan Eyshi
;
Zhu, Wanxue
;
Wang, Dongliang
;
Li, He
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/01/09
plant density
remote sensing
deep learning
unmanned aerial vehicle (UAV)
wheat
tillering
UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases
期刊论文
OAI收割
FIELD CROPS RESEARCH, 2022, 卷号: 284, 页码: 15
作者:
Zhu, Wanxue
;
Rezaei, Ehsan Eyshi
;
Nouri, Hamideh
;
Sun, Zhigang
;
Li, Jing
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/09/21
Unmanned aerial vehicle
Remote sensing
Maize
Precision agriculture
Multispectral
UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases
期刊论文
OAI收割
FIELD CROPS RESEARCH, 2022, 卷号: 284, 页码: 15
作者:
Zhu, Wanxue
;
Rezaei, Ehsan Eyshi
;
Nouri, Hamideh
;
Sun, Zhigang
;
Li, Jing
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/09/21
Unmanned aerial vehicle
Remote sensing
Maize
Precision agriculture
Multispectral
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms
期刊论文
OAI收割
PRECISION AGRICULTURE, 2022, 页码: 22
作者:
Yu, Danyang
;
Zha, Yuanyuan
;
Sun, Zhigang
;
Li, Jing
;
Jin, Xiuliang
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/09/21
Unmanned aerial vehicle
Above-ground biomass
Multi-source data
DCNN
Machine learning