Scott C. Chapman

26 papers C 6Misc 2Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation.
ADC
Tianqi Wei, Xin Yu, Zhi Chen, Scott C. Chapman, Zi Huang
2025 J jnl
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation.
CoRR
Tianqi Wei, Xin Yu, Zhi Chen, Scott C. Chapman, Zi Huang
2025 J jnl
Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA.
CoRR
Yan Ke, Xin Yu, Heming Du, Scott C. Chapman, Helen Huang
2025 J jnl
FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data.
CoRR
Bing Han, Chen Zhu, Dong Han, Rui Yu, Songliang Cao, Jianhui Wu, Scott C. Chapman, Zijian Wang, Bangyou Zheng, Wei Guo, Marie Weiss, Benoit de Solan, Andreas Hund, Lukas Roth, Norbert Kirchgeßner, Andrea Visioni, Yufeng Ge, Wenjuan Li, Alexis Comar, Dong Jiang, Dejun Han, Frédéric Baret, Yanfeng Ding, Hao Lu, Shouyang Liu
2024 J jnl
CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction.
CoRR
Zhi Chen, Tianqi Wei, Zecheng Zhao, Jia Syuen Lim, Yadan Luo, Hu Zhang, Xin Yu, Scott C. Chapman, Zi Huang
2024 J jnl
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping.
Comput. Electron. Agric.
Chrisbin James, Daniel Smith, Weigao He, Shekhar S. Chandra, Scott C. Chapman
2024 C conf
Insights in the Ability of High-Resolution Narrow Band Multispectral and Thermal Sensors to Estimate Cotton Production in Australia.
IGARSS
Francesca Devoto, Sean Reynolds-Massey-Reed, Cristian Pinzón, Michael Bell, Tim Mclaren, Rakesh Awale, Carlos Camino, Michael Bange, William Woodgate, Scott C. Chapman, Andries B. Potgieter
2024 J jnl
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation.
CoRR
Tianqi Wei, Zhi Chen, Xin Yu, Scott C. Chapman, Paul Melloy, Zi Huang
2024 J jnl
Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs.
CoRR
Jia Syuen Lim, Yadan Luo, Zhi Chen, Tianqi Wei, Scott C. Chapman, Zi Huang
2023 C conf
Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning.
IGARSS
Andries B. Potgieter, Carlos Camino, Tomas Poblete, Xiaoyu Zhi, Sean 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
2023 J jnl
Divide and Ensemble: Progressively Learning for the Unknown.
CoRR
Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott C. Chapman, Zi Huang, Xin Yu
2023 — conf
Toward a Unified Framework for RGB and RGB-D Visual Navigation.
AI (2)
Heming Du, Zi Huang, Scott C. Chapman, Xin Yu
2022 C conf
A High-Throughput Phenotyping Pipeline for Rapid Evaluation of Morphological and Physiological Crop Traits Across Large Fields.
IGARSS
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
2022 C conf
Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia.
IGARSS
Dung Nguyen, Yan Zhao, Yifan Zhang, Anh Ngoc-Lan Huynh, Fred Roosta, Graeme L. Hammer, Scott C. Chapman, Andries B. Potgieter
2021 J jnl
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes.
Remote. Sens.
Pengcheng Hu, Scott C. Chapman, Huidong Jin, Yan Guo, Bangyou Zheng
2021 Misc conf
Domain Adaptation for Plant Organ Detection with Style Transfer.
DICTA
Chrisbin James, Yanyang Gu, Scott C. Chapman, Wei Guo, Etienne David, Simon Madec, Andries B. Potgieter, Anders Eriksson
2021 J jnl
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity.
CoRR
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, Benoît 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
2021 J jnl
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.
Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando A. Apan, Scott C. Chapman, Neal W. Menzies, Yash P. Dang
2020 J jnl
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
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
2018 C conf
Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies.
IGARSS
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
2018 C conf
Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation.
IGARSS
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
2017 J jnl
EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions.
Sensors
Wei Guo, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott C. Chapman, Seishi Ninomiya
2016 J jnl
A standardized workflow to utilise a grid-computing system through advanced message queuing protocols.
Environ. Model. Softw.
Bangyou Zheng, Edward Holland, Scott C. Chapman
2014 J jnl
APSIM - Evolution towards a new generation of agricultural systems simulation.
Environ. Model. Softw.
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
2002 J jnl
The GP problem: Quantifying gene-to-phenotype relationships.
Silico Biol.
Mark Cooper, Scott C. Chapman, Dean W. Podlich, Graeme L. Hammer
2002 J jnl
Using biplots to interpret gene expression patterns in plants.
Bioinform.
Scott C. Chapman, Peer Schenk, Kemal Kazan, John Manners