agricultural mechanized systems team
PhD Students
Connect
- 902.430.7689
- CMullins@dal.ca
Connor Mullins
phd Candidate
2024 - Present
I am currently pursuing a PhD in Agricultural Science, with a focus on mechanical harvester automation, within the Agricultural Mechanized Systems research team. I completed my Master of Science in Agriculture at the Faculty of Agriculture, building on a Bachelor of Mechanical Engineering from Dalhousie University’s Faculty of Agriculture (Diploma) and Sexton Engineering campuses. Throughout my studies, I actively engaged in Dalhousie’s Co-op program, undertaking multiple placements within the Agricultural Mechanized Systems research team.
In addition to my research, I am a part-time academic, teaching the Engineering Design 1 and Digital Electronics and Computer Interfacing courses. Outside of my thesis research, my current research interests include developing an autonomous image annotation pipeline and enhancing data collection methodologies to support machine learning applications in agriculture. I have expertise in multiple programming languages such as C++, C, embedded C/C++, and Python, and I train machine learning and deep learning models using frameworks like Darknet, Keras, and PyTorch. My ultimate goal is to innovate autonomous systems for wild blueberry harvesting, improving efficiency and reducing operational burden for producers.
Education
M.Sc. Agriculture
B. Eng. (Mechanical)
Dip. Eng. (Mechanical)
Current Project Title
Automation of Mechanical Wild Blueberry Harvester Bin-Handling System
Publications
Connect
- 902.314.2029
- Brittany.Cole@dal.ca
Brittany Cole
phd Candidate
2022 - Present
I am currently in my third year of the Ph.D. in Agricultural Sciences program focusing on establishing perennial grains in the Canadian Maritimes. I completed my Bachelor of Applied Technology (BAT) degree in Biotechnology at Fanshawe College in 2011, which fostered my interest in plant science. I continued my studies with a M.Sc. research project in Environmental Science at the University of Prince Edward Island, supervised by Evolutionary Ecologist Dr. Karen Samis and completed in 2015. My M.Sc. project focused on coastal plant ecology, assessing fitness and ecological factors influencing a common beach plant, Cakile edentula, between beach and dune to inform on adaptation of offspring to the maternal plant habitat. The outcomes of this project contributed to the understanding of how coastal plants may respond to progressing climate change impacts on coastlines. While ecology was a new subject for me, my background in chemistry, genetics, and biology tied nicely with aspects of my M.Sc. project, including assessing plant defence compounds and adaptation.
Following my M.Sc. degree, I worked in an array of professions from firefighting to regulatory affairs to teaching a cannabis cultivation program. My last employment was a ClimateSense internship to build adaptive capacity in the agricultural sector. In this position, I developed a perennial cropping system project that I later shifted into my current Ph.D. research with the help of Dr. Andrew Hammermeister (Dalhousie University) and Dr. Aaron Mills (AAFC). My Ph.D project is assessing the establishment of Thinopyrum intermedium (intermediate wheatgrass, registered as Kernza® by The Land Institute) in the Canadian Maritimes and identifying the best agronomic practices for cultivation and stand management. Growing up in a rural community with family working in the agricultural industry, contributing to the success of our local food systems under the pressures of climate change is important to me, and I hope the outcomes of my Ph.D. research will identify a sustainable perennial crop for the Maritimes.
Education
M.Sc. Environmental Science
B.A.T. Biotechnology
Current Project Title
Assessing the agronomy and establishment of intermediate wheatgrass (Thinopyrum intermedium) in the Canadian Maritimes: a perennial grain with climate change adaptation and mitigation potential.
Connect
- 902.324.0770
- patrick.hennessy@dal.ca
Patrick Hennessy
phd Candidate
2021 - Present
I am currently in the second year of my Ph.D. in Agricultural Sciences program in the mechanized systems research team. Originally from Truro, NS, I completed my Bachelor of Mechanical Engineering degree at Dalhousie’s Truro and Halifax campuses, then as a designer and project coordinator at Specialty Steel Inc in Debert, NS. Since my early teens, I’ve had a strong interest in repairing and tinkering with computers and electronics. In 2018, I returned to Dalhousie to study the use of deep learning, a form of artificial intelligence, in the wild blueberry industry. My M.Sc. dissertation, Convolutional neural networks for real-time herbicide application in wild blueberry production, examined novel deep learning methods for targeting and spot-spraying herbicide on hair fescue and sheep sorrel in wild blueberry fields.
My doctoral research expands upon my M.Sc work through adding compatibility for more weeds such as hawkweed and goldenrod, development of a new control system for spot targeting and spraying, and creation of a field-scouting smartphone app. I program primarily in Python, C, and Javascript, and train deep learning models using the Darknet, Keras, and PyTorch frameworks. I hope to continue using cutting-edge computer vision and deep learning techniques to create sustainable innovations for agriculture.
When I’m not doing research, I enjoy hiking and cycling the many excellent trails we have in Nova Scotia, supporting local music, and keeping up with technology trends. I try to stay involved with the graduate student community at Dalhousie, and I’m regularly involved in programs hosted by the Cultiv8 innovation sandbox.
Education
M.Sc. Agriculture
B. Eng. (Mechanical)
Dip. Eng. (Mechanical)
Current Project Title
Development of Digital Technologies for the Wild Blueberry Cropping System to Lower Production Costs and Increase Berry Quality
Publications
Graduated PhD Students
Connect
- 418.222.7584
- mathieu.bilodeau@dal.ca
Mathieu Bilodeau
phd candidate
2020 - 2025
Education
B.Sc. Geography
Advanced Diploma in Remote Sensing
M.Sc. Applied Geomatics
Current Project Title
Assessing Equipment And Technologies For Use In The Development Of Dykeland In Atlantic Canada For Sustainable Agricultural Production
Publications
Connect
- 902.957.1861
- maceachernc@dal.ca
Craig MacEachern
PhD Candidate | Research Associate
2019 - 2024
I am currently a PhD in Agricultural Sciences program focusing on mechanized systems. My research project looks at the development of a smart herbicide applicator for spot treatment of hair fescue in wild blueberry. Hair fescue is the pest of greatest concern for the wild blueberry industry due to its economically destructive nature and resistance to most agrochemicals. The project has far reaching implications beyond wild blueberries as a successful design would represent the world’s first spot applicator for granular herbicides in a field crop.
I am originally from Valley, Nova Scotia, and have two previous degrees from Dalhousie University. These include a Bachelor of Technology in Applied Science (University Medal) along with a Master’s of Science in Agriculture. My Master’s dissertation is titled “Assessment of the Potential of Minkery Wastewaters for the Production of Dunaliella salina and β-carotene.” The skills I’ve gained throughout my academic career have led to a broader understanding of agricultural issues and how the pillars of sustainability interconnect all our goals and aspirations in agricultural sciences.
Beyond personal academics, I am the Varsity Men’s Soccer Head Coach at Dal AC, an instructor for Aquacultural Systems Technology and serve as a member of Dalhousie’s Academic Quality Team. I also currently hold the Killam-D scholarship and Presidents Award and have previously held the Graduate Research Training Initiative.
I look forward to what our team can achieve and am excited for the prospect of completing my Doctorate Degree.
Education
Ph.D. Agricultural Sciences
M.Sc. Agriculture
B.Sc. Technology in Applied Science
Project Title
Development and Evaluation of a Precision Herbicide Applicator for Real Time Spot Aplications of Dichlobenil to Control Hair Fescue in Wild Blueberry Fields

