Articles with public access mandates - Scott ChapmanLearn more
Not available anywhere: 7
Modelling the nitrogen dynamics of maize crops–Enhancing the APSIM maize model
S Soufizadeh, E Munaro, G McLean, A Massignam, EJ Van Oosterom, ...
European Journal of Agronomy 100, 118-131, 2018
Mandates: Australian Research Council
Sorghum crop modeling and its utility in agronomy and breeding
G Hammer, G McLean, A Doherty, E van Oosterom, S Chapman
Sorghum: A State of the Art and Future Perspetives 58, 215-239, 2019
Mandates: Australian Research Council
Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies
AB Potgieter, J Watson, M Eldridge, K Laws, B George-Jaeggli, C Hunt, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Mandates: Bill & Melinda Gates Foundation, Australian Research Council
A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields
S Das, SR Massey-Reed, J Mahuika, J Watson, C Cordova, L Otto, ...
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
Mandates: Australian Research Council
The use of hyperspectral proximal sensing for phenotyping of plant breeding trials
AB Potgieter, J Watson, B George-Jaeggli, G McLean, M Eldridge, ...
Fundamentals, sensor systems, spectral libraries, and data Mining for …, 2018
Mandates: Bill & Melinda Gates Foundation, Australian Research Council
Toward a Unified Framework for RGB and RGB-D Visual Navigation
H Du, Z Huang, S Chapman, X Yu
Australasian Joint Conference on Artificial Intelligence, 363-375, 2023
Mandates: Australian Research Council
Domain adaptation for plant organ detection with style transfer
C James, Y Gu, S Chapman, W Guo, E David, S Madec, A Potgieter, ...
2021 Digital Image Computing: Techniques and Applications (DICTA), 1-9, 2021
Mandates: US Department of Energy
Available somewhere: 37
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
E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ...
Plant Phenomics, 2020
Mandates: UK Biotechnology and Biological Sciences Research Council, Agence Nationale …
Breeder friendly phenotyping
M Reynolds, S Chapman, L Crespo-Herrera, G Molero, S Mondal, ...
Plant Science 295, 110396, 2020
Mandates: CGIAR
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
FA Van Eeuwijk, D Bustos-Korts, EJ Millet, MP Boer, W Kruijer, ...
Plant science 282, 23-39, 2019
Mandates: US Department of Energy, European Commission
Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines
AB Potgieter, B George-Jaeggli, SC Chapman, K Laws, ...
Frontiers in Plant Science 8, 1532, 2017
Mandates: Bill & Melinda Gates Foundation, Australian Research Council
A weakly supervised deep learning framework for sorghum head detection and counting
S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ...
Plant Phenomics, 2019
Mandates: US Department of Agriculture, Australian Research Council
An integrated approach to maintaining cereal productivity under climate change
MP Reynolds, E Quilligan, PK Aggarwal, KC Bansal, AJ Cavalieri, ...
Global Food Security 8, 9-18, 2016
Mandates: Bill & Melinda Gates Foundation
The quest for understanding phenotypic variation via integrated approaches in the field environment
D Pauli, SC Chapman, R Bart, CN Topp, CJ Lawrence-Dill, J Poland, ...
Plant Physiology 172 (2), 622-634, 2016
Mandates: US National Science Foundation
Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates
GL Hammer, G McLean, E van Oosterom, S Chapman, B Zheng, A Wu, ...
Crop Science 60 (2), 605-621, 2020
Mandates: Australian Research Council
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods
E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics, 2021
Mandates: UK Biotechnology and Biological Sciences Research Council, Agence Nationale …
Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysis
P Casadebaig, B Zheng, S Chapman, N Huth, R Faivre, K Chenu
PloS one 11 (1), e0146385, 2016
Mandates: Australian Research Council
Aerial imagery analysis–quantifying appearance and number of sorghum heads for applications in breeding and agronomy
W Guo, B Zheng, AB Potgieter, J Diot, K Watanabe, K Noshita, DR Jordan, ...
Frontiers in plant science 9, 1544, 2018
Mandates: Australian Research Council
Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategies
D Bustos-Korts, MP Boer, M Malosetti, S Chapman, K Chenu, B Zheng, ...
Frontiers in Plant Science 10, 1491, 2019
Mandates: European Commission
Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
P Hu, W Guo, SC Chapman, Y Guo, B Zheng
ISPRS Journal of Photogrammetry and Remote Sensing 154, 1-9, 2019
Mandates: National Natural Science Foundation of China
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