Abdul Bais, University of Regina

Research

Computer Vision Agricultural Monitoring Crop Stress Detection Deep Neural Networks Image Fusion Image Understanding Machine Learning Multisource Data Fusion

Latest papers

LodgeNet: an automated framework for precise detection and classification of wheat lodging severity levels in precision farming.
Frontiers in plant science · 2023
Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals.
Neural networks : the official journal of the International Neural Network Society · 2020 · senior author

All 2 publications

Latest funding

Sustainable, Profitable and Net-zero Controlled Environment Agriculture (SPAN-CEA)
NSERC · 2023 · Co-investigator
$35,000
Improved perception and navigation for automated harvesting using imaging sensors
NSERC · 2023 · Co-investigator
$140,000
Developing Machine Learning Methods for RGB Images to Quantify Crop and Weed Populations Across Agricultural Fields
NSERC · 2022 · Principal investigator
$204,500

All 6 grants and awards

2 publications.

01

LodgeNet: an automated framework for precise detection and classification of wheat lodging severity levels in precision farming.

Ali N, Mohammed A, Bais A, Sangha JS, Ruan Y, Cuthbert RD

Frontiers in plant science2023

DOI: 10.3389/fpls.2023.1255961 PMID: 38093998

02

Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals.

Shah SAA, Zhang L, Bais A

Neural networks : the official journal of the International Neural Network Society2020Senior author

DOI: 10.1016/j.neunet.2020.06.018 PMID: 32650152

Sustainable, Profitable and Net-zero Controlled Environment Agriculture (SPAN-CEA)

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Wang, Zhanle Z

Keywords: Controlled environment agriculture; Economic viability; Environmental metrics; Food security; Greenhouse gas emission reduction; Plant growth optimization; Renewable energy; Socio-economic research; Sustainable, profitable, net-zero; Water resource and soil health

$35,000

Improved perception and navigation for automated harvesting using imaging sensors

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Mehrandezh, Mehran M

Keywords: artificial intelligence; automation; computer vision; control systems; machine learning; mechatronics; precision agriculture; robotics; sensor fusion; smart farming

$140,000

Developing Machine Learning Methods for RGB Images to Quantify Crop and Weed Populations Across Agricultural Fields

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Bais, Abdul A

Keywords: computer vision; consistency of crop establishment; crop growth cycle monitoring; deep learning; domain adaptation; multispectral imaging; object detection; plant stand count; semantic segmentation; weed detection

$204,500

Crop Stress Management using Multi-source Data Fusion

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Bais, Abdul

Keywords: computer vision; machine learning; precision agriculture; image understanding; crop stress detection; multisource data fusion; remote sensing; image fusion; deep neural networks; agricultural monitoring

$116,000

Crop Stress Management using Multi-source Data Fusion

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Bais, Abdul

$12,500

Ground Truth Validation of Crop Growth Cycle Using High Resolution Proximal and Remote Sensing

Principal investigatorNSERC2019Alliance Grants

Principal investigators: Bais, Abdul A

$90,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Lei Zhang

Faculty of Engineering and Applied Science

1 shared papers, latest 2020

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: Computer Vision Dear Professor Bais, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "LodgeNet: an automated framework for precise detection and classification of wheat lodging severity levels in precision farming." (2023), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Developing Machine Learning Methods for RGB Images to Quantify Crop and Weed Populations Across Agricultural Fields" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]