agricultural mechanized systems team
Current MSc Students

Connect
- 902.213.2573
- Chloe.Toombs@dal.ca
Chloe Toombs
msc student
2024 - Present
I am currently pursuing a Master of Science in Agriculture with the Agricultural Mechanized Systems Research team. I am originally from Cavendish, P.E.I. and come from an agricultural background. I completed my undergrad in Mechanical Engineering at Dalhousie University’s Faculty of Engineering in April of 2024. I have returned to Dalhousie University’s Faculty of Agriculture to study the use of agricultural drones in wild blueberry production.
Throughout my two-year program I will be studying the feasibility and optimum techniques for site-specific herbicide application in wild blueberry using agricultural drones. Using images from surveying drones, I am working to use machine learning to create prescription maps for spot application of herbicides. Sprayer drones are still up and coming in Canada but have the potential to offer many benefits over conventional methods. I will be studying the spray patterns of these to determine the optimum parameters for herbicide application.
Using my background in agriculture and engineering, I hope to use this time to create guides and determine best practices for wild blueberry producers to use these drones to their full potential.
Education
B.Eng. Mechanical Engineering
Dip. Eng. Mechanical Engineering
Current Project Title
Identifying Feasibility and Optimum Techniques for Site-Specific Herbicide Application in Wild Blueberry (Vaccinium angustifolium Ait.) using Agricultural Drones

Connect
- 902.957.6128
- ar547064@dal.ca
Arishma Khan
MSc candidate
2023-pRESENT
I am a student of the Masters of Science in Agriculture at the Faculty of Agriculture Dalhousie University. My project focuses on investigating the role of processed sugar kelp to reduce greenhouse gas emissions (GHGs), improve soil health and productivity. Changing climate has resulted in increasing heat waves due to which GHGs emissions lead us to sustainable agriculture in which we are looking for net zero emissions.
Originally, I am from Pakistan where I completed my Bachelor’s degree in Agricultural Sciences with a major in Soil and Environmental Sciences from the University of Agriculture Faisalabad in 2021. My Bachelor’s research project was focused on soil management and optimization techniques using empirical methods, and soil sensing. After that, I also worked as an internee at the Center for Precision Agriculture, PMAS Arid Agriculture University Rawalpindi. Agriculture at present encompasses many problems such as stagnating food-gain production, declining fertilizer response, multi-nutrient deficiency, and environmental pollution. Efficient nutrient management is the most sustainable practice to manage long-term soil fertility and productivity as well as environmental quality.
Education
B.S. Agriculture in Soil and Environmental Sciences
Current Project Title
Investigating the Role of Processed Sugar Kelp to Reduce Greenhouse Gas Emissions, Improve Soil Health and Productivity
Graduated MSc Students

Connect
- 902.430.7689
- CMullins@dal.ca
Connor Mullins
MSc candidate
2022-2024
I am currently in the first year of the Master of Science in Agriculture program in the Mechanized Systems research team. Originally from Halifax, NS, I completed my Bachelor of Mechanical Engineering degree at Dalhousie’s Faculty of Agriculture (Diploma) and Sexton Engineering campuses in April of 2022. During my studies I participated in the Co-op program at Dalhousie and was able to spend 3 of my 4 placements with the Mechanized Systems research team. In May of 2022, I returned to Dalhousie’s Faculty of Agriculture to study the use of Machine Learning, in the wild blueberry industry to automate the mechanical harvester bin handling system. I program primarily in C++, and C, with additional proficiency in python. I train deep learning models using the Darknet, Keras, Tensorflow, and PyTorch frameworks with the hope to create an autonomous bin handling system using volume estimation and quality analysis to help the need of the Wild Blueberry producers in creating a more efficient and less stressful solution for the operator of the Wild Blueberry harvester.
Education
B. Eng. Mechanical Engineering
Dip. Eng. Mechanical Engineering
Current Project Title
Automation of Mechanical Wild Blueberry Harvester Bin-Handling System

Connect
- 902.305.7672
- Umair.Asif@dal.ca
Muhammad Umair Asif
msc student
2022 - 2024
I am working on Master’s of Science in Agriculture with the Mechanized Systems Research Team at Dalhousie University’s Faculty of Agriculture. My project focuses on analyzing fruit quality at harvest as well as optimizing post harvest berry sorting for fresh market. Harvesting during select meteorological and field conditions can help to maximize fruit quality to remain competitive in the fresh fruit market.
I am originally from Pakistan, where I received my bachelor’s degree in Information Technology in 2019. After that, I served as a network administrator in a project entitled “Establishment of National Center of Industrial Biotechnology for Pilot Manufacturing of Bioproducts using Synthetic Biology and Metabolic Engineering Technologies at PMAS-AAUR”.
Currently, I am learning new technologies that can be used in to enhance the farmer’s profit margin.
Education
B.S. Information Technology
Current Project Title
Optimizing Wild Blueberry Fruit Quality and Handling Efficiency for Fresh Pack Processing

Connect
- 902.916.7116
- zhaydar@upei.ca
Zeeshan Haydar
msc student
2022 - 2024
I am a Master’s student of Sustainable Design Engineering at the University of Prince Edward Island and working on agricultural mechanization and machinery automation. My research project focuses on the automation of wild blueberry harvesters to minimize the harvest losses, increase machine efficiency, reduce driver fatigue and workload to ensure the better harvest produces quality.
I am originally from Pakistan, where I received my bachelor’s degree in Agriculture Engineering in 2016 and a Master’s degree in Agricultural Engineering with Major subjects Farm Machinery & Power in 2018 from the University of Agriculture, Faisalabad. After that, I served as an agricultural field engineer in the different technical projects entitled “Enhancing Technology-Based Agriculture and Marketing in Rural Area of Punjab” and” Strengthen Food Security Post-COVID-19 and Locust Attacks”. The focus in these projects was machine evaluation and literacy training for farmers on Paddy, Wheat, and Maize cob picker harvesters.
I genuinely believe that with the continuously growing world food demands and increase in production cost the adoption of farm mechanization is inevitable. The promotion and adoption of advanced technologies will help save time, cost, energy, and environment, increase the crop production and play vital role in the prosperity of the farmers and country.
Education
M.Sc. Agricultural Engineering
B.Eng. Agricultural Engineering
Current Project Title
Development of an Innovative and Intelligent Harvester to Improve Wild Blueberry Harvestable Yield and Lower Operator’s Stress
Publications

Connect
- 902.916.6570
- usman.ali@dal.ca
Usman Ali
MSc candidate
2020-2022
I have completed a Master of Science in Agriculture at the Dalhousie Agricultural Campus in Truro. My study focused on the development of land use and land cover maps, crop maps, and evapotranspiration maps. I have prepared land-use land cover maps, crop maps, and evapotranspiration maps based on satellite indices using remote sensing technology, which might assist farmers and policymakers in estimating correct crop acreage, land cover change analysis, and precision water management. I think that satellite-based indices can map an area’s land cover and aid in improving mapping accuracy.
I am from Pakistan, where I earned my bachelor’s degree in Agricultural Engineering in 2019. I am certified as an engineer by the Pakistan Engineering Council. Land cover change analysis, geospatial analysis, yield calculation, and environmental decision-making are some of my research interests.
I am now studying new UAV technologies that can be employed in precision agriculture to increase farmers’ profit margins.
Education
M.Sc. Agriculture
B. Eng. Agricultural Engineering
Project Title
Application of Satellite-Based Indices for Precise Agriculture Land Management and Estimation of Evapotranspiration
Publications

Muhammad Saad
msc student
2019 - 2021
Development and Evaluation of a Radar System for Ground Surface Detection in Wild Blueberry Fields

Anup Kumar Das
msc student
2018 - 2020
Development of an Automated Debris Detection System for Wild Blueberry Harvesters Using a Convolutional Neural Network to Improve Fruit Quality

Patrick Hennessy
msc student
2018 - 2020
Convolutional Neural Networks for Real-Time Weed Identification in Wild Blueberry Production

MD. Sultan Mahmud
msc student
2017 - 2019
Development of a Machine Vision System for Strawberry Powdery Mildew Disease Detection

Hanmbal Khan
msc student
2018 - 2019
Economic Analysis of Alternative Mechanical Harvesting Systems for Wild Blueberries