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科研机构
植物研究所 [10]
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期刊论文 [10]
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2023 [2]
2022 [2]
2020 [3]
2019 [2]
2015 [1]
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Environmen... [4]
Biodiversi... [2]
Ecology [2]
Forestry [2]
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Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857
作者:
Zhu, Xian-Jin
;
Yu, Gui-Rui
;
Chen, Zhi
;
Zhang, Wei-Kang
;
Han, Lang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/07
Carbon cycle
Climate change
Eddy covariance
Terrestrial ecosystem
Machine learning
Scale extension
GWAS-assisted genomic prediction of cadmium accumulation in maize kernel with machine learning and linear statistical methods
期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2023, 卷号: 441
作者:
Yan, Huili
;
Guo, Hanyao
;
Xu, Wenxiu
;
Dai, Changhua
;
Kimani, Wilson
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  |  
浏览/下载:20/0
  |  
提交时间:2024/03/07
Genomic prediction
Maize Cd accumulation
Machine learning
Linear statistical methods
Tree species richness as an important biotic factor regulates the soil phosphorus density in China's mature natural forests
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 845
作者:
Liu, Xujun
;
Tang, Xuli
;
Lie, Zhiyang
;
He, Xinhua
;
Zhou, Guoyi
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Mature natural forests
Soil P density
Tree species richness
Climate
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
期刊论文
FOREST ECOSYSTEMS, 2022, 卷号: 9
作者:
Yang, Qiuli
;
Su, Yanjun
;
Hu, Tianyu
;
Jin, Shichao
;
Liu, Xiaoqiang
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest aboveground biomass
Drone LiDAR
Allometric relationship
Power law
Tree height
Vegetation index
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
作者:
Sun, Fei
;
Fang, Fang
;
Wang, Run
;
Wan, Bo
;
Guo, Qinghua
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  |  
浏览/下载:27/0
  |  
提交时间:2022/03/01
image classification
class imbalance
impartial semi-supervised learning strategy (ISS)
extreme gradient boosting (XGB)
very-high-resolution (VHR)
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data
期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:
Xu, Kexin
;
Su, Yanjun
;
Liu, Jin
;
Hu, Tianyu
;
Jin, Shichao
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/03/01
Aboveground biomass (AGB)
Degraded grassland
Machine learning
Northern agro-pastoral ecotone
Terrestrial laser scanning (TLS)
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
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  |  
浏览/下载:29/0
  |  
提交时间:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
Neighborhood effects explain increasing asynchronous seedling survival in a subtropical forest
期刊论文
ECOLOGY, 2019, 卷号: 100, 期号: 11
作者:
Chen, Lei
;
Wang, Yunquan
;
Mi, Xiangcheng
;
Liu, Xiaojuan
;
Ren, Haibao
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  |  
浏览/下载:19/0
  |  
提交时间:2022/01/06
demographic decoupling between species
direct and indirect effects
forest dynamics plot
neighborhood effects
seedling survival
subtropical forest
temporal environmental variation
Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 278
作者:
Wang, Haozhou
;
Han, Dong
;
Mu, Yue
;
Jiang, Lina
;
Yao, Xueling
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/01/06
Dryland vegetation
Machine learning
Decision tree model
Digital orthophoto map
Otindag sandy land
Semi-arid ecosystem
Classification and regression tree (CART)
Predicting alien herb invasion with machine learning models: biogeographical and life-history traits both matter
期刊论文
BIOLOGICAL INVASIONS, 2015, 卷号: 17, 期号: 7, 页码: 2187-2198
作者:
Chen, Leiyi
;
Peng, Shaolin
;
Yang, Bin
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/09/13
Risk assessment
Invasiveness
Native range distribution size
Germination rate
Seed weight
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