Scott C. Chapman

According to our database, Scott C. Chapman authored at least 15 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia.

Dung Nguyen, Yan Zhao, Yifan Zhang, Anh Ngoc-Lan Huynh, Fred Roosta, Graeme L. Hammer, Scott C. Chapman, Andries B. Potgieter

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A High-Throughput Phenotyping Pipeline for Rapid Evaluation of Morphological and Physiological Crop Traits Across Large Fields.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes.

Pengcheng Hu, Scott C. Chapman, Huidong Jin, Yan Guo, Bangyou Zheng

Remote. Sens., 2021

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.

Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando A. Apan, Scott C. Chapman, Neal W. Menzies, Yash P. Dang

Remote. Sens., 2021

Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity.

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

CoRR, 2021

Domain Adaptation for Plant Organ Detection with Style Transfer.

Chrisbin James, Yanyang Gu, Scott C. Chapman, Wei Guo, Etienne David, Simon Madec, Andries B. Potgieter, Anders Eriksson

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

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.

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

CoRR, 2020

2018

Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies.

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation.

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions.

Wei Guo, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott C. Chapman, Seishi Ninomiya

Sensors, 2017

2016

A standardized workflow to utilise a grid-computing system through advanced message queuing protocols.

Bangyou Zheng, Edward Holland, Scott C. Chapman

Environ. Model. Softw., 2016

2014

APSIM - Evolution towards a new generation of agricultural systems simulation.

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

Environ. Model. Softw., 2014

2002

The GP problem: Quantifying gene-to-phenotype relationships.

Mark Cooper, Scott C. Chapman, Dean W. Podlich, Graeme L. Hammer

Silico Biol., 2002

Using biplots to interpret gene expression patterns in plants.

Scott C. Chapman, Peer Schenk, Kemal Kazan, John Manners

Bioinform., 2002