| Machine learning optimised hyperspectral remote sensing retrieves cotton nitrogen status IJ Marang, P Filippi, TB Weaver, BJ Evans, BM Whelan, TFA Bishop, ... Remote Sensing 13 (8), 1428, 2021 | 29 | 2021 |
| Mapping of Cotton Fields Within-Season Using Phenology-Based Metrics Derived from a Time Series of Landsat Imagery D Al-Shammari, I Fuentes, BM Whelan, P Filippi, TFA Bishop remote sensing 12 (18), 3038, 2020 | 29 | 2020 |
| A screening method to detect BYDV‐PAV resistance in cereals under glasshouse conditions S Choudhury, D Al‐Shammari, H Hu, H Meinke, G Westmore, C Birchall, ... Plant Pathology 67 (9), 1987-1996, 2018 | 13 | 2018 |
| Changes in Mesopotamian wetlands: investigations using diverse remote sensing datasets AKM Al-Nasrawi, I Fuentes, D Al-Shammari Wetlands 41 (7), 94, 2021 | 12 | 2021 |
| Impact of spatial resolution on the quality of crop yield predictions for site-specific crop management D Al-Shammari, BM Whelan, C Wang, RGV Bramley, M Fajardo, ... Agricultural and Forest Meteorology 310, 108622, 2021 | 11 | 2021 |
| Mapping cotton fields using phenology-based metrics derived from a time series of Landsat imagery D Al-Shammari, TFA Bishop, I Fuentes, P Filippi 19th Australian Agronomy Conference 2019, Australia: Australian Society of …, 2019 | 5 | 2019 |
| A comparison between machine learning and simple mechanistic-type models for yield prediction in site-specific crop yield predictions D Al-Shammari, T F.A. Bishop, C Wang, B M. Whelan, R and G.V Bramley 20th Australian Agronomy Conference 2022, Australia: Australian Society of …, 2022 | 2 | 2022 |
| Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea D Al-Shammari, Y Chen, NS Wimalathunge, C Wang, SY Han, ... Precision Agriculture, 1-23, 2024 | | 2024 |
| Do pulse crops present a greater opportunity for site-specific crop-management than cereals? A national study D Al-Shammari, T McPherson, P Filippi, TFA Bishop | | 2024 |
| Combining Sentinel 1, Sentinel 2 and MODIS data for major winter crop type classification over the Murray Darling Basin in Australia D Al-Shammari, I Fuentes, BM Whelan, C Wang, P Filippi, TFA Bishop Remote Sensing Applications: Society and Environment 34, 101200, 2024 | | 2024 |
| Integration of mechanistic model outputs as inputs into data-driven models for yield prediction: a case study on canola D Al-Shammari, Y Chen, NS Wimalathunge, C Wang, TFA Bishop Precision agriculture'23, 513-522, 2023 | | 2023 |
| Unleashing precision agriculture data for improved soil carbon accounting T Bishop, D Al-Shammari, K Coelli, P Filippi, N Wimalathunge, B Whelan Precision agriculture'23, 669-676, 2023 | | 2023 |
| E-Agriculture Planning Tool for Supporting Smallholder Cocoa Intensification Using Remotely Sensed Data K Singh, I Fuentes, D Al-Shammari, C Fidelis, J Butubu, D Yinil, ... Remote Sensing 15 (14), 3492, 2023 | | 2023 |
| Remote sensing applications for crop type mapping and crop yield prediction for digital agriculture DTJ Al-Shammari | | 2022 |
| Decision support systems (DSS) for better fertiliser management D Al-Shammari, P Filippi, JP Moloney, NS Wimalathunge, BM Whelan, ... Improving data management and decision support systems in agriculture, 159-183, 2020 | | 2020 |
Thomas BishopAssociate Professor at University of Sydney在 sydney.edu.au 的电子邮件经过验证
