Graph weeds net: A graph-based deep learning method for weed recognition K Hu, G Coleman, S Zeng, Z Wang, M Walsh Computers and electronics in agriculture 174, 105520, 2020 | 117 | 2020 |
Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control GRY Coleman, A Stead, MP Rigter, Z Xu, D Johnson, GM Brooker, ... Weed Technology 33 (4), 633-650, 2019 | 78 | 2019 |
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review K Hu, Z Wang, G Coleman, A Bender, T Yao, S Zeng, D Song, ... Precision Agriculture 25 (1), 1-29, 2024 | 59 | 2024 |
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems GRY Coleman, A Bender, K Hu, SM Sharpe, AW Schumann, Z Wang, ... Weed Technology 36 (6), 741-757, 2022 | 36 | 2022 |
Low Energy Laser Treatments Control Annual Ryegrass (Lolium rigidum) G Coleman, C Betters, C Squires, S Leon-Saval, M Walsh Frontiers in Agronomy 2, 601542, 2021 | 25 | 2021 |
OpenWeedLocator (OWL): An open-source, low-cost device for fallow weed detection. G Coleman, W Salter, M Walsh Scientific Reports 12, 170, 2022 | 21 | 2022 |
Tillage based, site-specific weed control for conservation cropping systems MJ Walsh, CC Squires, GRY Coleman, MJ Widderick, AB McKiernan, ... Weed Technology 34 (5), 704-710, 2020 | 18 | 2020 |
Increasing the value and efficiency of herbicide resistance surveys CC Squires, GRY Coleman, JC Broster, C Preston, P Boutsalis, MJ Owen, ... Pest Management Science 77 (9), 3881-3889, 2021 | 15 | 2021 |
Multi-growth stage plant recognition: A case study of Palmer amaranth (Amaranthus palmeri) in cotton (Gossypium hirsutum) GRY Coleman, M Kutugata, MJ Walsh, MV Bagavathiannan Computers and Electronics in Agriculture 217, 108622, 2024 | 5 | 2024 |
Image‐based weed recognition and control: Can it select for crop mimicry? GRY Coleman, A Bender, MJ Walsh, P Neve Weed Research 63 (2), 77-82, 2023 | 5 | 2023 |
More eyes on the prize: open-source data, software and hardware for advancing plant science through collaboration GRY Coleman, WT Salter AoB Plants 15 (2), plad010, 2023 | 4 | 2023 |
Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km/h GRY Coleman, A Macintyre, MJ Walsh, WT Salter Computers and Electronics in Agriculture 215, 108419, 2023 | 3 | 2023 |
Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control–CORRIGENDUM GRY Coleman, A Stead, MP Rigter, Z Xu, D Johnson, GM Brooker, ... Weed Technology 34 (1), 153-154, 2020 | 2 | 2020 |
Recognition of Italian Ryegrass (Lolium perenne ssp. multiflorum) in Wheat (Triticum aestivum) Using Machine Learning N Singh, B Gurjar, G Coleman, K Sapna, M Walsh, M Bagavathiannan ASA, CSSA, SSSA International Annual Meeting, 2024 | | 2024 |
FieldDino: High-throughput physio-morphological phenotyping of stomatal characteristics for plant breeding research E Chaplin, G Coleman, A Merchant, W Salter bioRxiv, 2024.10. 08.617327, 2024 | | 2024 |
Opportunities and constraints for image-based weed recognition in large-scale production systems G Coleman | | 2024 |
Using Deep Learning for Recognition of Multi-Growth Stage Palmer Amaranth (Amaranthus palmeri) in Cotton (Gossypium hirsutum) Under Field Conditions G Coleman, M Bagavathiannan, M Walsh ASA, CSSA, SSSA International Annual Meeting, 2021 | | 2021 |
Site-specific weed control for ginger cropping systems M Walsh, W Salter, G Coleman AgriFutures Australia Publication, 2021 | | 2021 |
Lasers, machine learning, weed recognition and new innovations in weed management G Coleman, C Squires, M Walsh GRAINS RESEARCH UPDATE, 58, 2020 | | 2020 |
General plenary session–Day 2 Lasers, machine learning, weed recognition and new innovations in weed management G Coleman, C Squires, M Walsh GRAINS RESEARCH UPDATE, 174, 2020 | | 2020 |