Scott C. Chapman
Orcid: 0000-0003-4732-8452
According to our database1,
Scott C. Chapman authored at least 28 papers
between 2002 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Dataset, November, 2025
Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA.
CoRR, September, 2025
FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data.
CoRR, September, 2025
Dataset, July, 2025
Dataset, February, 2025
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation.
Proceedings of the Databases Theory and Applications, 2025
2024
CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction.
CoRR, 2024
CoRR, 2024
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping.
Comput. Electron. Agric., 2024
Insights in the Ability of High-Resolution Narrow Band Multispectral and Thermal Sensors to Estimate Cotton Production in Australia.
Proceedings of the IGARSS 2024, 2024
2023
Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia.
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.
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.
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.
Remote. Sens., 2021
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity.
CoRR, 2021
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.
CoRR, 2020
2018
Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies.
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.
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.
Sensors, 2017
2016
A standardized workflow to utilise a grid-computing system through advanced message queuing protocols.
Environ. Model. Softw., 2016
2014
Environ. Model. Softw., 2014
2002