Anand Koirala

According to our database, Anand Koirala authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning.

Chiranjivi Neupane, Maisa Pereira, Anand Koirala, Kerry B. Walsh

Sensors, 2023

2022

Deep Learning for Real-Time Malaria Parasite Detection and Counting Using YOLO-mp.

Anand Koirala, Meena Jha, Srinivas Bodapati, Animesh Mishra, Girija Chetty, Praveen Kishore Sahu, Sanjib Mohanty, Timir Kanta Padhan, Jyoti Mattoo, Ajat Hukkoo

IEEE Access, 2022

2020

Wheel-Rail Interface Condition Estimation (W-RICE).

Sundar Shrestha, Anand Koirala, Maksym Spiryagin, Qing Wu

CoRR, 2020

2019

Mango Fruit Load Estimation Using a Video Based MangoYOLO - Kalman Filter - Hungarian Algorithm Method.

Zhenglin Wang, Kerry B. Walsh, Anand Koirala

Sensors, 2019

Deep learning - Method overview and review of use for fruit detection and yield estimation.

Anand Koirala, Kerry B. Walsh, Zhenglin Wang, Cheryl McCarthy

Comput. Electron. Agric., 2019

2018

In Field Fruit Sizing Using A Smart Phone Application.

Zhenglin Wang, Anand Koirala, Kerry B. Walsh, Nicholas Anderson, Brijesh K. Verma

Sensors, 2018

2016

Automated mango flowering assessment via refinement segmentation.

Zhenglin Wang, Brijesh K. Verma, Kerry B. Walsh, Phul Subedi, Anand Koirala

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016