Leisa Armstrong

Leisa Armstrong

Edith Cowan University

H-index: 20

Oceania-Australia

About Leisa Armstrong

Leisa Armstrong, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Edith Cowan University, specializes in the field of Digital Agriculture, Artificial Intelligence, Decision support systems, drones, ICT adoption.

His recent articles reflect a diverse array of research interests and contributions to the field:

Agricultural Drought Forecasting Using NDVI, VCI and Artificial Neural Network

Improved image recognition via synthetic plants using 3D modelling with stochastic variations

The segmentation of nuclei from histopathology images with synthetic data

Soil seed bank regeneration on North Keppel Island and other areas on the Capricorn Coast

A synthetic wheat L-system to accurately detect and visualise wheat head anomalies

Association of farmers’ wellbeing in a drought-prone area, Thailand: Applications of SPI and VCI indices

Automated Breast Tumor Detection Using MRI Images

Exploring issues of resilience and technology use for older people-A scoping review protocol

Leisa Armstrong Information

University

Position

Leader eAgriculture Research Group

Citations(all)

1668

Citations(since 2020)

1105

Cited By

893

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

32

i10Index(since 2020)

20

Email

University Profile Page

Edith Cowan University

Google Scholar

View Google Scholar Profile

Leisa Armstrong Skills & Research Interests

Digital Agriculture

Artificial Intelligence

Decision support systems

drones

ICT adoption

Top articles of Leisa Armstrong

Title

Journal

Author(s)

Publication Date

Agricultural Drought Forecasting Using NDVI, VCI and Artificial Neural Network

Shubhangi Wankhede

Leisa Armstrong

Amiya Kumar Tripathy

2023/12/10

Improved image recognition via synthetic plants using 3D modelling with stochastic variations

Chris Napier

M. Cook

David

Leisa Armstrong

Dean Diepeveen

2023/10

The segmentation of nuclei from histopathology images with synthetic data

Signal, Image and Video Processing

MD Shamim Hossain

Leisa Armstrong

Jumana Abu-Khalaf

David Michael Cook

2023

Soil seed bank regeneration on North Keppel Island and other areas on the Capricorn Coast

LJ Armstrong

2023/9/22

A synthetic wheat L-system to accurately detect and visualise wheat head anomalies

Chris Napier

David Cook

Leisa Armstrong

Dean. Diepeveen

2023

Association of farmers’ wellbeing in a drought-prone area, Thailand: Applications of SPI and VCI indices

Environmental Monitoring and Assessment

Watinee Thavorntam

Voravee Saengavut

Leisa Armstrong

David Cook

2023/4/26

Automated Breast Tumor Detection Using MRI Images

Mosammat Israt Jahan

TM Shahriar Sazzad

Leisa Armstrong

2023/2/23

Exploring issues of resilience and technology use for older people-A scoping review protocol

Timothy J Smith

Khui Hung Lee

Kan Yu

Leisa Armstrong

David M Cook

2022

Overlapping cell nuclei segmentation in digital histology images using intensity-based contours

Md Shamim Hossain

Leisa J Armstrong

Jumana Abu-Khalaf

David M Cook

Pauline Zaenker

2021/11/29

Improving data management and decision support systems in agriculture.

Improving data management and decision support systems in agriculture

Leisa Armstrong

2020

Huge locust swarms are threatening food security, but drones could help stop them

The Conversation

Leisa Armstrong

2020

Advances in artificial intelligence (AI) for more effective decision making in agriculture

LJ Armstrong

N Gandhi

P Taechatanasat

DA Diepeveen

2020/4/30

Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data

Journal of Ambient Intelligence and Humanized Computing

Hossein Pazhoumand-Dar

Leisa J Armstrong

Amiya Kumar Tripathy

2020/4

See List of Professors in Leisa Armstrong University(Edith Cowan University)

Co-Authors

H-index: 22
Prachyanun Nilsook

Prachyanun Nilsook

King Mongkut's University of Technology North Bangkok

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