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Yang Song

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Associate Professor

University of Science and Technology Beijing

China

Research Interests

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Grant: Open

Mechanisms of spatio-temporal heterogeneous responses of maize growth to atmospheric warming and drying considering the CO2 fertilization effect （顾及CO2施肥效应的玉米生长对大气暖干化时空异质性响应机制研究）

Open Date: 2024-01-01

Close Date: 2026-12-01

Articles (20)

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Collaborators (8)

Giri Kattel

Professor

University of Melbourne

AUSTRALIA

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Clement Atzberger

AUSTRIA

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Qingzhi Liu

Wageningen University & Research

NETHERLANDS

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Bedir Tekinerdogan

Full Professor and Chair Information Technology

Wageningen University & Research

NETHERLANDS

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Hanbo Yang

Professor

Tsinghua University

CHINA

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Pablo J. Zarco-Tejada

University of Melbourne

AUSTRALIA

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Lixin Wang

Professor

Indiana University-Purdue University Indianapolis

UNITED STATES

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Matthew F. McCabe

King Abdullah University of Science and Technology

SAUDI ARABIA

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Yang Song

Research Interests

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Recent Grants

Articles (20)

A novel disease sensitive index (DSI) for monitoring early maize leaf disease using PROSPECT-D and LESS models

Accurate detection of full-surface ear rot in maize using hyperspectral imaging and deep learning

Research advances in high-throughput maize phenotyping technologies and platforms

Adaptive classification and grading model of cigar wrapper leaf based on improved ResNet algorithm

China’s spring and summer maize growth exhibit differential sensitivities to recent climate change: Evidence from satellite observations and machine learning

Integration of remote sensing and artificial intelligence technologies enables crop abiotic stress monitoring

QTL mapping of maize plant height based on a population of doubled haploid lines using UAV LiDAR high-throughput phenotyping data

Hyperspectral Remote Sensing for Monitoring Crop Disease: Applications, challenges, and perspectives

A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022

High Throughput Cotton Yield Estimation Based on Multi-source Remote Sensing Data from Unmanned Aerial Vehicles and Machine Learning,基于无人机多源遥感数据和机器学习的高通量棉花估产研究

Synergistic use of stay-green traits and UAV multispectral information in improving maize yield estimation with the random forest regression algorithm

Recent Water Constraints Mediate the Dominance of Climate and Atmospheric CO2 on Vegetation Growth Across China

Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease

Elevated CO<sub>2</sub> concentrations contribute to a closer relationship between vegetation growth and water availability in the Northern Hemisphere mid-latitudes

Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit

Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery

Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods

Improved Crop Biomass Algorithm with Piecewise Function (iCBA-PF) for Maize Using Multi-Source UAV Data

A novel method for maize leaf disease classification using the RGB-D post-segmentation image data

Quantifying the impact of frost damage during flowering on apple yield in Shaanxi province, China

Collaborators (8)

Giri Kattel

Clement Atzberger

Qingzhi Liu

Bedir Tekinerdogan

Hanbo Yang

Pablo J. Zarco-Tejada

Lixin Wang

Matthew F. McCabe

Make your next move.