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| 1 | Global Wheat Head Detection(GWHD)Dataset:A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods显示文摘The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population density and head characteristics such as health,size,maturity stage,and the presence of awns.Several studies have developed methods for wheat head detection from high-resolution RGB imagery based on machine learning algorithms.However,these methods have generally been calibrated and validated on limited datasets.High variability in observational conditions,genotypic differences,development stages,and head orientation makes wheat head detection a challenge for computer vision.Further,possible blurring due to motion or wind and overlap between heads for dense populations make this task even more complex.Through a joint international collaborative effort,we have built a large,diverse,and well-labelled dataset of wheat images,called the Global Wheat Head Detection(GWHD)dataset.It contains 4700 high-resolution RGB images and 190000 labelled wheat heads collected from several countries around the world at different growth stages with a wide range of genotypes.Guidelines for image acquisition,associating minimum metadata to respect FAIR principles,and consistent head labelling methods are proposed when developing new head detection datasets.The GWHD dataset is publicly available at http://www.global-wheat.com/and aimed at developing and benchmarking methods for wheat head detection. | Etienne David Simon Madec Pouria Sadeghi-Tehran Helge Aasen Bangyou Zheng Shouyang Liu Norbert Kirchgessner Goro Ishikawa Koichi Nagasawa Minhajul A.Badhon Curtis Pozniak Benoit de Solan Andreas Hund Scott C.Chapman Frédéric Baret Ian Stavness Wei Guo | 2020 | Plant Phenomics2020，2，1： | 13 |
| 2 | Global Wheat Head Detection 2021:An Improved Dataset for Benchmarking Wheat Head Detection Methods显示文摘The Global Wheat Head Detection(GWHD)dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions.With an associated competition hosted in Kaggle,GWHD_2020 has successfully attracted attention from both the computer vision and agricultural science communities.From this first experience,a few avenues for improvements have been identified regarding data size,head diversity,and label reliability.To address these issues,the 2020 dataset has been reexamined,relabeled,and complemented by adding 1722 images from 5 additional countries,allowing for 81,553 additional wheat heads.We now release in 2021 a new version of the Global Wheat Head Detection dataset,which is bigger,more diverse,and less noisy than the GWHD_2020 version. | Etienne David Mario Serouart Daniel Smith Simon Madec Kaaviya Velumani Shouyang Liu Xu Wang Francisco Pinto Shahameh Shafiee Izzat SATahir Hisashi Tsujimoto Shuhei Nasuda Bangyou Zheng Norbert Kirchgessner Helge Aasen Andreas Hund Pouria Sadhegi-Tehran Koichi Nagasawa Goro Ishikawa Sébastien Dandrifosse Alexis Carlier Benjamin Dumont Benoit Mercatoris Byron Evers Ken Kuroki Haozhou Wang Masanori Ishii Minhajul ABadhon Curtis Pozniak David Shaner LeBauer Morten Lillemo Jesse Poland Scott Chapman Benoit de Solan Frédéric Baret Ian Stavness Wei Guo | 2021 | Plant Phenomics2021，3，1： | 2 |
| 3 | Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones显示文摘Early generation breeding nurseries with thousands of genotypes in single-row plots are well suited to capitalize on high throughput phenotyping.Nevertheless,methods to monitor the intrinsically hard-to-phenotype early development of wheat are yet rare.We aimed to develop proxy measures for the rate of plant emergence,the number of tillers,and the beginning of stem elongation using drone-based imagery.We used RGB images(ground sampling distance of 3mm pixel-1)acquired by repeated flights(≥2 flights per week)to quantify temporal changes of visible leaf area.To exploit the information contained in the multitude of viewing angles within the RGB images,we processed them to multiview ground cover images showing plant pixel fractions.Based on these images,we trained a support vector machine for the beginning of stem elongation(GS30).Using the GS30 as key point,we subsequently extracted plant and tiller counts using a watershed algorithm and growth modeling,respectively.Our results show that determination coefficients of predictions are moderate for plant count(R^(2)=0:52),but strong for tiller count(R^(2)=0:86)and GS30(R^(2)=0:77).Heritabilities are superior to manual measurements for plant count and tiller count,but inferior for GS30 measurements.Increasing the selection intensity due to throughput may overcome this limitation.Multiview image traits can replace hand measurements with high efficiency(85-223%).We therefore conclude that multiview images have a high potential to become a standard tool in plant phenomics. | Lukas Roth Moritz Camenzind Helge Aasen Lukas Kronenberg Christoph Barendregt Karl-Heinz Camp Achim Walter Norbert Kirchgessner Andreas Hund | 2020 | Plant Phenomics2020，2，1： | 2 |
| 4 | Experiments with direct algorithms for ordinary differential equations in structural dynamics显示文摘 | Braekhus J Aasen J O | 1981 | Computers and Structures1981，13，： | 1 |
| 5 | Isolation and cultivation of human keratinocytes from skin or plucked hair for the generation of induced pluripotent stem cells显示文摘 | Aasen T Belmonte J C | 2010 | Nat Protoc2010，5，2： | 1 |
| 6 | Interplay between YB-2 and IL-6 promotes the metastatic phenotype in breast cancer cells显示文摘 | Castellana B Aasen T Moreno-Bueno G | | Oncotarget0，6，38： | 1 |
| 7 | Efficient and rapid generation of induced pluripotent stem cells from human keratinocytes显示文摘 | Aasen T Raya A Barrero M J | 2008 | Nat Biotechnol2008，26，11： | 1 |
| 8 | Mediator responses in surgical infections 显示文摘 | Aasen AO Wang JE | 2006 | Surg Infect (Larchmt)2006，7，2： | 1 |
| 9 | Neural dysfunction and violence in schizophrenia : An fMRI investigation显示文摘 | Kumari V Aasen I Taylor P | 2006 | Schizophr Res2006，84，： | 1 |
| 10 | Three-dimensional well tubular design improves margins in critical wells显示文摘 | Aasen J A Bernt S Aadnoy | 2007 | Journal of Petroleum Science and Engineering2007，56，4： | 1 |
| 11 | Multistring analysis of wellhead movement显示文摘 | AASEN J A AADNOY B S | 2009 | Journal of Petroleum Science and Engineering2009，66，3： | 1 |
| 12 | The relationship between connexins,gap junctions,tissue architecture and tumour invasion,as studied in a novel in vitro model of HPV-16-associated cervical cancer progression显示文摘 | Aasen T Hodgins M B Edward M | 2003 | Oncogene2003，22，39： | 1 |
| 13 | Inhibition of Listeria monocytogenes in cold smoked salmon byaddition of sakacin P and/or live Lactobacillus sakei cultures显示文摘 | Katla T Moretro T Aasen I M | 2001 | Food Microbiology2001，18，4： | 1 |
| 14 | Comparison of ELISA and LC-MS analyses for yessotoxins in blue mussels (Mytilus edulis) 显示文摘 | INGUNN A SAMDAL JOHN A B AASEN LYN R BRIGGS | 2005 | Toxicon2005，46，： | 1 |
| 15 | An approach to maintain orthodontic alignment of lower incisors without the use of retainers 显示文摘 | Aasen TO Espeland L | 2005 | Eur J Orthod2005，27，3： | 1 |
| 16 | Efficient and rapid generation of induced pluripotent stem cells from human keratinocytes显示文摘 | Aasen T Raya A Barrero M J | 2008 | Nature Biotechnology2008，26，11： | 1 |
| 17 | Changes in duodenal bacterial flora after cholecystectomy with or without papillotomy in rabbits显示文摘 | Rosseland AR Midtvedt T Aasen AO | 1984 | Scand J Gastroenterol1984，19，3： | 1 |
| 18 | Amplification of the Zfy and Zfx genes for sex identification in humans, cattle, sheep and goats 显示文摘 | AASEN E MEDRANO J F | 1990 | Biotechnology1990，8，12： | 1 |
| 19 | Tissue distribution,effects of cooking and parameters affecting the extraction of azaspiracids from mussels,Mytilus edulis,prior to analysis by liquid chromatography coupled to mass spectrometry显示文摘 | Hess P Nguyen L Aasen J | 2005 | Toxicon2005，46，： | 1 |
| 20 | Mediator responses in surgical infections显示文摘 | Aasen AO Wang JE | 2006 | Surg Infect ( Larchmt )2006，7，2： | 1 |
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