Better data for a better world
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At TerraByte we conduct research revolving around machine learning applications in agriculture. Our three main pillars are generating labelled plant data, developing machine learning models, and constructing a plant image database.

Generating Labelled Plant Images

With the help of embedded systems we create labelled data for applications in which machine learning meets agriculture. Good ML-models needs good data. ALITA and EAGL-I have already generated hundreds of thousands of labelled plant images, ranging from vegetables, over weeds, to typical crops found in the Prairies such as Canola and Soybeans. We keep imaging and soon extend our data acquisition to hyperspectral and 3d-imaging.

Training Machine Learning Models

We use high performance GPU-servers to train deep neural networks on our image data. Tasks range from simple plant identification, classifying a plant as crop or weed, or even evaluating a plant's well-being. These machine learning models train on the data we produced ourselves to be the "brains" in future robotic agents taking care of fields one plant at a time.

TerraByte Public Plant Image Database

All our data is stored and will be made available for researchers and eventually to everyone online. We are working on a front-end that allows everyone to browse and filter the data provided to get exactly what they need for their application's development. This publicly available data will accelerate the research community and the agriculture industry towards the next revolution in how we grow our food.


The following research projects are currently conducted at TerraByte.

Our imaging robot
Convolutional Neural Networks
Architectures and topologies
From the Lab to Fields
Generalizing models to real world applications
Multispectral 3D Scanning
Applying 3D CNNs to multispectral 3D point models
Hyperspectral Imaging
Getting plants' spectra from IR to UV
Bayesian Neural Networks
Stochastic training algorithms
Field Data Collection
Automated data collection with drones and a rover
Low cost 3D reconstruction for phenotyping


Latest news about TerraByte and its team members.

The next generation of leaders
President’s Student Leadership Program
Data Rover Maiden Voyage
Rover field tests have started
Canola Council
Canola Council of Canada visits TerraByte

Our Team

TerraByte brings together experts from a variety of fields.

Dr. Christopher Bidinosti's image

Prof. Christopher Bidinosti

Principal Investigator, Department of Physics

Dr. Christopher Henry's image

Prof. Christopher Henry

Principal Investigator, Department of Applied Computer Science

Dr. Michael Beck's image

Prof. Michael Beck

Co-Investigator, Department of Applied Computer Science

Dr. Manisha Ajmani's image

Dr. Manisha Ajmani

Project Manager

Prof. Jon Ziprick

PI at Red River College

Prof. Rafael Otfinowski

Department of Biology

Prof. Ed Cloutis

Department of Geography

Prof. Sherif Sherif

Department of Electrical and Computer Engineering, University of Manitoba

Habib's image

Habib Abdallah

Polynomial Neural Networks, Learning from Noisy Labels

Collin Chartrand

Summer student

Laura Didyk

Summer student

Cara Godee

Greenhouse Technician

Oumaima Hamila's Image

Oumaima Hamila

3D Models and Imaging, 3D Convolutional Neural Networks

Joe Hrzich


Alexander Krosney

Deep Learning, Data Rover

Chen-Yi Liu's Image

Chen-Yi Liu

Hyperspectral Imaging, Robotics

Nooshin Noshiri

Deep Learning, Hyperspectral Imaging

Sai Rohit's image

Sai Rohit

Summer Student

Parsa Sotoodeh's image

Parsa Sotoodeh

Deep Learning, Plant Detection

Brayden Yarish

Summer student

Open Positions

We are always looking for talented students in computer science, physics, engineering and related fields.
Please contact Christopher Bidinosti or Christopher Henry, if you are interested to work on applications of sensors, robotics, data acquisition, data handling, machine learning, image processing, artificial intelligence, digital agriculture, or phenomics.

There are currently multiple post-doc positions open at TerraByte! See here

For Canadian undergraduate students please also check for opportunities here

Non-Canadian undergraduate students please see the 2022 projects listed by Dr. Bidinosti and Dr. Henry here

Past Members

Former members of TerraByte.

Mehregan Biglarbeiki

Summer student

Junyao's Image

Junyao Pu

Machine Learning, Bayesian Methods

Dilbar Randhawa's Image

Dilbar Randhawa

Databases, Homepage, Convolutional Neural Networks

Maryam Bafandkar's image

Maryam Bafandkar

Deep Learning Architectures

Reid Lowdon's image

Reid Lowdon

Convolutional Neural Networks, Databases

Our Partners

TerraByte is proud to have collaborations and partnerships with the following organisations. We gratefully acknowledge the funding and financial support of Weston Seeding Food Innovation, Mitacs, Western Economic Diversification, NSERC, and University of Winnipeg. We thank Assiniboine Community College, Canola Council, DL Seeds, Haplotech, Manitoba Pulse and Soy Growers, Manitoba Crop Alliance, and University of Saskatchewan for providing us with seeds and seedlings.

Contact Us

For inquiries please contact m.ajmani@uwinnipeg.ca