Theo dõi
Guy Coleman
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1172020
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
782019
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
592024
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
362022
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
252021
OpenWeedLocator (OWL): An open-source, low-cost device for fallow weed detection.
G Coleman, W Salter, M Walsh
Scientific Reports 12, 170, 2022
212022
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
182020
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
152021
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
52024
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
52023
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
42023
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
32023
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
22020
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
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