Scott C. Chapman

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 13

Top Topics

Mass Spectrometry

Machine Learning

Top Venues

Environ. Model. Softw.

Publications

Chrisbin James, Daniel Smith, Weigao He, Shekhar S. Chandra, Scott C. Chapman
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Comput. Electron. Agric. 217 (2024)
Andries B. Potgieter, Carlos Camino, Tomas Poblete, X. Zhi, S. Reynolds-Massey-Reed, Yan Zhao, Anirudh Belwalkar, J. Ruizhu, Barbara George-Jaeggli, Scott C. Chapman, David R. Jordan, A. Wu, Graeme L. Hammer, Pablo J. Zarco-Tejada
Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. IGARSS (2023)
Sumanta Das, Sean Reynolds Massey-Reed, Jenny Mahuika, James E. M. Watson, Celso Cordova, Loren Otto, Yan Zhao, Scott C. Chapman, Barbara George-Jaeggli, David R. Jordan, Graeme L. Hammer, Andries B. Potgieter
A High-Throughput Phenotyping Pipeline for Rapid Evaluation of Morphological and Physiological Crop Traits Across Large Fields. IGARSS (2022)
Dung Nguyen, Yan Zhao, Yifan Zhang, Anh Ngoc-Lan Huynh, Fred Roosta, Graeme L. Hammer, Scott C. Chapman, Andries B. Potgieter
Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia. IGARSS (2022)
Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadeghi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott C. Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity. CoRR (2021)
Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando Apan, Scott C. Chapman, Neal W. Menzies, Yash P. Dang
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. Remote. Sens. 13 (17) (2021)
Pengcheng Hu, Scott C. Chapman, Huidong Jin, Yan Guo, Bangyou Zheng
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes. Remote. Sens. 13 (14) (2021)
Chrisbin James, Yanyang Gu, Scott C. Chapman, Wei Guo, Etienne David, Simon Madec, Andries B. Potgieter, Anders Eriksson
Domain Adaptation for Plant Organ Detection with Style Transfer. DICTA (2021)
Etienne David, Simon Madec, Pouria Sadeghi-Tehran, Helge Aasen, B. 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
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. CoRR (2020)
Ali Masjedi, Jieqiong Zhao, Addie M. Thompson, Kai-Wei Yang, John E. Flatt, Melba M. Crawford, David S. Ebert, Mitchell R. Tuinstra, Graeme L. Hammer, Scott C. Chapman
Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. IGARSS (2018)
Andries B. Potgieter, James E. M. Watson, Mark Eldridge, Kenneth Laws, Barbara George-Jaeggli, Colleen Hunt, Andrew Borrell, Emma Mace, Scott C. Chapman, David R. Jordan, Graeme L. Hammer
Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies. IGARSS (2018)
Wei Guo, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott C. Chapman, Seishi Ninomiya
EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions. Sensors 17 (4) (2017)
Bangyou Zheng, Edward Holland, Scott C. Chapman
A standardized workflow to utilise a grid-computing system through advanced message queuing protocols. Environ. Model. Softw. 84 (2016)
Dean P. Holzworth, Neil I. Huth, Peter G. de Voil, Eric J. Zurcher, Neville I. Herrmann, Greg McLean, Karine Chenu, Erik J. van Oosterom, Valerie O. Snow, Chris Murphy, Andrew D. Moore, Hamish E. Brown, Jeremy P. M. Whish, Shaun Verrall, Justin Fainges, Lindsay W. Bell, Allan S. Peake, Perry L. Poulton, Zvi Hochman, Peter J. Thorburn, Donald S. Gaydon, Neal P. Dalgliesh, Daniel Rodríguez, Howard Cox, Scott C. Chapman, Alastair Doherty, Edmar I. Teixeira, Joanna Sharp, Rogerio Cichota, Iris Vogeler, Frank Y. Li, Enli Wang, Graeme L. Hammer, Michael J. Robertson, John P. Dimes, Anthony M. Whitbread, James Hunt, Harm van Rees, Tim McClelland, Peter S. Carberry, John N. G. Hargreaves, Neil MacLeoda, Cam McDonald, Justin Harsdorf, Sara Wedgwood, Brian A. Keating
APSIM - Evolution towards a new generation of agricultural systems simulation. Environ. Model. Softw. 62 (2014)
Scott C. Chapman, Peer Schenk, Kemal Kazan, John Manners
Using biplots to interpret gene expression patterns in plants. Bioinform. 18 (1) (2002)
Mark Cooper, Scott C. Chapman, Dean W. Podlich, Graeme L. Hammer
The GP problem: Quantifying gene-to-phenotype relationships. Silico Biol. 2 (2) (2002)