L2M – DeepFault AI: Advanced Geoscience Software Solution

This project will validate the commercial potential of DeepFault AI, an advanced geoscience software solution that automates seismic fault interpretation using deep learning, with integrated uncertainty quantification and quality control (QC). In energy sectors such as oil and gas, geothermal, and carbon storage, reliable subsurface interpretation is essential. Traditional fault detection methods are slow, subjective, […]

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Pétrogenèse des pegmatites lithinifères du projet Shaakichiuwaanaan, Eeyou Istchee Baie-James, Québec

Récemment le modèle de pluton source pour la génération de pegmatites lithinifères a été questionné et ainsi d’autres modèles de formation ont été proposés. Les pegmatites lithinifères du projet Shaakichiuwaanaan dans la région d’Eeyou Istchee Baie-James (Québec) se concentrent le long d’un couloir (CV Lithium Trend) de plus de 20 km de longueur sur moins […]

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Modélisation de la recharge et de la vulnérabilité des eaux souterraines sous changement climatique à l’aide de l’intelligence artificielle

Ce projet répond à l’enjeu mondial urgent de la durabilité des eaux souterraines face aux changements climatiques, en développant un cadre de modélisation robuste, alimenté par l’intelligence artificielle, pour évaluer et comparer la recharge et la vulnérabilité des nappes phréatiques dans deux régions aux climats contrastés : la plaine semi-aride de Berrechid au Maroc et […]

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TRLUP–IPMNowApp

The proposed project will leverage AI technology and citizen science to improve the efficient and responsible use of pesticides in agriculture. Farmers and agronomists face significant challenges in identifying insect species in their crops. Many insects look similar, but while some are harmful pests causing severe crop losses, others are beneficial, acting as natural pest […]

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Development of an Integrated Biodiversity Monitoring Framework Using Ground Sensors

Veritree collaborates with businesses to integrate verified tree planting projects into their strategies, fostering sustainable environmental restoration globally. In partnership with Concordia University, this project focuses on enhancing biodiversity monitoring by evaluating sensor deployment and data collection practices while also creating tools and methodologies for processing data from sensors installed at veritree’s restoration sites. By […]

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Fibre-Optic Sensing with Ambient Noise for Improved Understanding of Landslide Behaviour

Landslides are natural hazards, commonly triggered by heavy rainfall, glacier melt, and permafrost degradation. This project explores an emerging fibre-optic sensing technology, Distributed Acoustic Sensing (DAS), which can enhance our understanding of slope failure processes. DAS transforms fibre-optic cables into thousands of sensors capable of detecting small-scale ground deformation in near-real-time. This project will apply […]

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Enhancing or restoring ecosystem services in oxygen stressed water bodies – exploring potential applications for a novel aeration device

Many bodies of water are facing a decline in concentrations of oxygen in the water. This is mainly because human activities have increased the amount of nutrients and organic matter entering these water bodies, which in turn fuels microbial activity that consumes available oxygen. When oxygen levels drop, the health of the ecosystem suffers, and […]

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Interpreting the reproduction of climate natural variability and extreme events using probabilistic neural network architectures

This project aims to use artificial intelligence methods to reproduce various characteristics of the Earth climate system. More specifically, we know that the climate system is subject to natural variability, a physical phenomenon that dictates that multiple future conditions are possible within atmospheric physical constraints. Modelling this phenomenon is currently very costly with large models […]

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Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing

Agriculture must meet the needs of the continuously growing world population. To this end, sustainable strategies that improve resource use efficiency (human, fuel, water, herbicides, pesticides, and fertilizers), reduce inputs and environmental impacts, and sensing methodologies that provide actionable information are in demand. This research will increase the potential for collecting high-quality data in the […]

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Plateforme intelligence pour la synthèse des connaissances environnementales et l’aide à la prise de décision

Face à la complexité croissante des enjeux environnementaux, l’entreprise T2 Environnement doit prendre des décisions rapides et éclairées à partir d’une grande quantité d’informations techniques, réglementaires et scientifiques. Ce projet vise à développer une plateforme intelligente capable de comprendre des enjeux posés en langage naturel et d’y répondre en s’appuyant sur les données internes de […]

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An Examination of the Biological Impacts of Ocean Alkalinity Enhancement in Halifax Bay via Biogeochemical Observations

The increasing severity of climate change and glacial pace of emissions reform is requiring the development of new strategies for atmospheric CO2 drawdown. One of the approaches that has been gaining traction is Ocean Alkalinity Enhancement (OAE), a method that increases the physical absorption of atmospheric CO2 into the ocean by dispersing alkaline materials in […]

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La lixiviation des dépotoirs, un risque pour l’environnement?

La gestion de nos déchets est un défi de taille du 21e siècle : si la part du recyclage/réacheminement est en constante progression au Canada depuis quelques années, il n’en demeure pas moins que la vaste majorité des déchets collectés aboutissent dans des sites d’enfouissement, posant ainsi des risques de pollution pour les écosystèmes avoisinants. […]

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