Spremljaj
Chiranjivi Neupane
Naslov
Navedeno
Navedeno
Leto
Evaluation of depth cameras for use in fruit localization and sizing: Finding a successor to kinect v2
C Neupane, A Koirala, Z Wang, KB Walsh
Agronomy 11 (9), 1780, 2021
702021
A trust-based model for the adoption of smart city technologies in Australian regional cities
C Neupane, S Wibowo, S Grandhi, H Deng
Sustainability 13 (16), 9316, 2021
272021
Fruit sizing in orchard: A review from caliper to machine vision with deep learning
C Neupane, M Pereira, A Koirala, KB Walsh
Sensors 23 (8), 3868, 2023
242023
In-orchard sizing of mango fruit: 1. Comparison of machine vision based methods for on-the-go estimation
C Neupane, A Koirala, KB Walsh
Horticulturae 8 (12), 1223, 2022
192022
A trust based smart city adoption model for the Australian regional cities: A conceptual framework
C Neupane, S Wibowo, S Grandhi, MR Hossain
CQUniversity, 2019
132019
Developing Machine Vision in Tree-Fruit Applications—Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting
C Neupane, KB Walsh, R Goulart, A Koirala
Sensors 24 (17), 5593, 2024
42024
on-tree mango-branch instance segmentation dataset
C Neupane
https://doi.org/10.25946/26212598.v1, 2024
2024
Machine vision with deep learning for in-orchard mango fruit sizing and size distribution
C Neupane, KB Walsh, A Koirala
Acta hortic., 317-324, 2024
2024
On-tree mango instance segmentation dataset
C Neupane, K Walsh, A Koirala
https://doi.org/10.25946/21655628.v1, 2023
2023
Key determinants influencing stakeholders' trust towards their intention to adopt smart city services in Australian regional cities
C Neupane
CQUniversity, 2020
2020
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