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第二届亚太植物表型国际会议

2018年3月23-25日,中国 南京

会议日程

Friday, March 23

14:00-20:00

Registration

Saturday, March 24

Morning Session, chaired by Yanfeng Ding, VP of NAU

8:30-9:10

Opening ceremony

9:10-9:30

Group photo & Tea break

Morning Session

9:30-10:00

Research of High-Throughput Phenotyping Technology in NERCITA

Chunjiang ZHAO, Beijing Academy of Agriculture & Forestry Sciences, China

10:00-10:30

Phenotyping yield-related traits from high-throughput field measurements

Frederic BARET, IRNA, France

10:30-11:00

Extending the phenotype self-calibration, data-fusion across equipment and scales and the use of models to improve the utility of UAV-derived phenotyping

Scott CHAPMAN, CSIRO, Australia

11:00-11:30

Active camera placement for 3D reconstruction of plant shoots

Tony PRIDMORE, University of Nottingham, UK

11:30-12:00

Utilization of metabolomics in large-scale high-resolution phenotyping for improving plant abiotic stress tolerance

Bingru HUANG, Rutgers University, USA

12:00-12:30

Open Plant Phenotyping and Analytics Platforms- Broad, Deep and Rapid Phenotyping-Improved Crop Management and Breeding

David M. KRAMER, Michigan State University, USA

Afternoon Session

 

Session I-1

Session I-2

13:30-14:00

High resolution growth analysis: what can it tell us that we have missed in the past?

Trevor GARNETT, University of Adelaide, Australia

Maize yield component analysis with machine learning

Xiqing WANG, China Agricultural University, China

14:00-14:30

Linking high throughput phenotyping (HTP) to plant breeding: Define breeding profile, frame the right phenotype and platform, keep it simple

Vincent VADEZ/ ICRISAT, India

A Method of Plant Root Centerline Extraction Based on Mesh Contraction

Xuecheng ZHOU, South China Agricultural University, China

14:30-14:50

Efficient characterization of sorghum heads using high resolution images from unmanned aerial vehicle

Wei GUO, The University of Tokyo, JAPAN

Estimation of aboveground biomass and leaf area for a wheat trial index using unmanned aerial vehicle

Bangyou ZHENG, CSIRO Agriculture and Food, AUSTRALIA

14:50-15:10

Application of Small Unmanned Aerial Vehicles in Canola Flower Counting and Yield Prediction

Ti ZHANG, University of Saskatchewan, CANADA

Dissecting the temporal and spatial pattern of senescence using dynamic RGB phenotyping of a bread wheat MAGIC population

Jiwan Han, Aberystwyth University, UNITED KINGDOM

15:10-15:30

An integrated skeleton extraction and pruning method for spatial recognition of maize seedlings in MGV and UAV remote images

Chengquan ZHOU, Beijing Research Center for information Technology in Agriculture, CHINA

High-throughput phenotyping of light interception efficiency: application to wheat crops

Shouyang LIU, INRA, FRANCE

15:30-15:50

Efficient characterization of orchard tree using high resolution images from unmanned aerial vehicle

Yue MU, The University of Tokyo, JAPAN

Hyperspectral imaging combining multivariate modeling enable nondestructive analysis of cell wall composition in sorghum

Yufeng GE, University of Nebraska Lincoln, USA

15:50-16:10 Tea break

 

Session II-1

Session II-2

16:10-16:40

Shifting plant breeding into overdrive

Xavier SIRAULT, CSIRO, Australia

Uncovering the hidden genetic diversity in wheat

Anthony HALL, Earlham Institute, UK

16:40-17:00

Making efforts on extracting more phenotypic information

Mao LI, Donald Danforth Plant Science Center, USA

A study on the optimization of environment and conditions for crop phenomics

Inchan CHOI, National Institute of Agricultural Sciences, REPUBLIC OF KOREA

17:00-17:20

Post-harvest high-throughput estimates of stem density and diameter in wheat crops from high spatial resolution RGB imagery: application to ear density and biomass estimation

Xiuliang JIN, INRA-EMMAH, UMT-CAPTE, FRANCE

Phenotyping in Drought Stressed Oil Palm Seedlings

Bee Keat NEOH, Sime Darby Technology Centre, MALAYSIA

17:20-17:40

Tassel Phenotypic Traits Extraction by Multi-View High Resolution Imaging

Hao YANG, China National Engineering Research Center for Information Technology in Agriculture, CHINA

Critical computer vision problems in plant phenotyping part II: high-level image understanding

Hao LU, Huazhong University of Science and Technology, CHINA

 

 

 

19:00-22:10 Posters & Technology session

19:00-19:10

The Crop Journal, a SCI journal for international  crop science community

Yunbi XU, Institute of Crop Science, Chinese of Agricultural Sciences and CIMMYT, CHINA

19:10-19:20

Are you ready for the phenomics era?

David HAN, PhenoTrait Technology Co., Ltd., CHINA

19:20-19:40

PlantEye F500: combine 3D and multsipectral information in one sensor

Stefan Schwartz, Phenospex B.V., THE NETHERLANDS

19:40-20:00

Crop 3D: High-throughput crop phenotyping using a mobile LiDar system

Yanjun SU, Greenvalley Technology Co., Ltd., CHINA

20:00-20:20

rhAmp SNP Genotyping: A novel approach for improving PCR-based SNP genotyping

Kui LI, Shanghai Nanodigmbio Biotechnology Co. LTD, CHINA

20:20-20:32

GreenPheno – the plant phenotypic technical helper around you

Chenglong HUANG, Wuhan Greenpheno Science and Technology Co., Ltd., CHINA

20:32-20:44

LED light sources and intelligent plant growth room

Jie HOU, Nanjing Quanyou Electronic Technology Co. Ltd., CHINA

20:44-20:56

Bioinformatics Analysis for Genome Sequencing and Population Genetic Study

Gang ZHOU, Biomarker Technologies Co., CHINA

20:56-21:08

Multi-Source Remote Sensing—Hyperspectral Imaging, Non-Imaging, Multispectral, Lidar, Thermal Infrared and Oblique Photography

Jianguo LI, Beijing AZUP Scientific Co., CHINA

21:08-21:20

High-throughput screening tools for identification of traits contributing to salinity tolerance

Martin TRTILEK, Photon Systems Instruments, CZECH REPUBLIC

21:20-21:28

Design considerations for greenhouse phenotyping platform selection

Bas VAN EERDT, PhenoKey B.V., THE NETHERLANDS

21:28-21:36

Development of Advanced High Resolution Imaging of Status of Photosynthesis of Plants and Real Time Monitoring of Crops for Improved Growing Using Laser Induced Fluorescence

Henk JALINK, PhenoVation B.V., THE NETHERLANDS

21:36-21:44

Outlook of phenotypic greenhouse based on artificial intelligence

Jianjun XU, Beijing Kooland Technologies Co., Ltd., CHINA

21:44-21:52

High throughput automatic genotyping system for mordern agriculture breeding

Lincoln ONG, LGC Genomics, UK

21:52-22:00

Performance and application of Resonon hyperspectral imager

Kailong WANG, Beijing LICA United Technology Ltd., CHINA

22:00-22:08

Automated High Throughput  Phenotyping with PhenoMix

Didier Neuzeret, PhenoMix, FRANCE

Sunday, March 25

Morning Session

8:30-9:00

Current issues in high-throughput field plant phenotyping

Seishi NINOMIYA, The University of Tokyo, Japan

9:00-9:30

An automated high throughput platform for monitoring crop performance in the field

Malcolm HAWKESFORD, Rothamsted Research, UK

9:30-10:00

Combining phenomics and genomics to reveal genetic basis of drought resistance in rice

Lizhong XIONG, Huazhong Agricultural University

10:00-10:30

Multi-scale phenotyping of crop traits for precision cultivation

Tao CHENG, Nanjing Agricultural University, China

10:30-10:45

Tea break

10:45-11:15

Advancing Plant Phenomics through Sensing and Robotics

Changying LI, University of Georgia, USA

11:15-11:45

Coming high-throughput phenotyping and GWAS to reveal the genetic interned patterning of plant height in maize

Chunyi ZHANG, CAAS, CHINA

11:45-12:15

Phenotyping approaches to dissecting the genetic basis of yield and stress tolerance

John DOONAN, Aberystwyth University, UK

12:15-12:45

Functional Modeling and Experimental Design in High-Throughput Plant Phenotyping

Jennifer CLARKE, University of Nebraska Lincoln, USA

Afternoon Session

 

Session III-1

Session III-2

13:30-14:00

Plant Phenotypic Measurement and Parameters Analysis

Huanliang XU, Nanjing Agricultural University, China

Harvesting Insights: Vertical Farming Through Precision Phenomics, the Internet of Things and Big Data

April Agee CARROLL, Purdue University, USA

14:00-14:30

Fifteen years of ionomics and what have we learnt?

David SALT, University of Nottingham, UK

From data to knowledge – multi-scale phenotypic analyses to extract meaningful information from big plant phenotyping datasets

Ji ZHOU, Nanjing Agricultural University/Earlham Institute, China/UK

14:30-14:50

Notes on using Machine Learning for Phenotyped Data

Sohiya YOTSUKURA, Kyoto University and JST, JAPAN

High-throughput field phenotyping using a mobile lidar system

Qinghua GUO, Institute of Botany, the Chinese Academy of Sciences, CHINA

14:50-15:10

The application of advanced imaging techniques in strawberry phenotyping

Bo LI, NIAB EMR, UNITED KINGDOM

Development of a UAV-based dual-camera imaging system for rice phenotyping

Haiyan CEN, Zhejiang University,  CHINA

15:10-15:30

A Comparison of Vis/NIR with Machine Learning Methods in Wheat Black Tip Disease Detection

Tingting WU, Northwest Agriculture and Forest University, CHINA

Estimation of Wheat LAI at Middle to High Levels using Unmanned Aerial Vehicle Narrowband Multispectral Imagery

Xia YAO, Nanjing Agricultural University, China

15:30-15:50 Tea break

 

Session -1

Session -2

15:50-16:20

Latest improvements in crop phenotyping platform (HZAU): quantify novel traits using high-throughput micro-CT, high-throughput hyperspectral imaging, field-plot phenotyping and deep learning

Wanneng YANG, Huangzhong Agricultural University, China

Automation and robotics for high-throughput phenotyping and precision horticulture and agriculture

Rick VAN DE ZEDDE, Wageningen University, the Netherlands

16:20-16:40

Linking phenotypic trait with 3D light distribution model to assess canopy light interception efficiency based on Machine Vision and UAV

Yuntao MA, China Agricultural University, CHINA

High throughput phenotyping of NDVI phenology across the wheat growth cycle for grain yield prediction using multi-spectral UAV platform

Yonggui XIAO, Institute of Crop Sciences CAAS, CHINA

16:40-17:00

Field-based crop phenotyping: UAV-HTTP for evaluation of dynamics and development trend in large scale maize breeding

Liang HAN, NERCITA, CHINA

Wheat panicles counting using color-based segmentation and graph-based segmentation

Ying DU, NERCITA, China

17:00-17:20

High-throughput field phenotyping platform to map genes related to photosynthetic capacity in C4 sorghum

Barbara GEORGEJAEGGLI, The University of Queensland QAAFI, AUSTRALIA

Automated Root Growth Analysis using X-ray Computed Tomography

Stefan GERTH, Fraunhofer Development Center Xray Technology, GERMANY

17:20-17:40

Fields and controlled environment phenotyping of North American maize lines from modern breeding programs

Zhikai LIANG, University of Nebraska Lincoln, USA

Heterogeneous Plant Phenotyping Big-data Aggregation for Crop Breeding with Diverse Data-acquiring Platforms and Technologies

Liang GONG, Shanghai Jiaotong University, CHINA

17:40-17:50 Break

17:50-18:20 Close ceremony

Monday, March 26

8:30-12:00 Field Visit

 

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