All posts for
ai

Leveraging satellite data and AI for environmental policy support
  • Remote Sensing,
  • Satellite,
  • deep learning,
  • AI,
  • water quality monitoring,
  • Flanders

Leveraging satellite data and AI for environmental policy support

By Lisa Landuyt 22.10.2024

The Copernicus Sentinel satellites monitor the Earth’s surface with high spatial and temporal resolution. The images are openly available, but translating..

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AI4FOOD FuseTS: a toolbox for Sentinel Data Fusion and Analytics
  • Sentinel,
  • AI,
  • AI4FOOD,
  • FuseTS,
  • data fusion

AI4FOOD FuseTS: a toolbox for Sentinel Data Fusion and Analytics

By Bram Janssen 27.03.2024

Satellites gather an extensive amount of Earth Observation (EO) data. Despite this data's availability, there are still challenges in extracting relevant..

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Waste Watchers enables citizens to detect and map litter with drones and AI
  • drones,
  • AI,
  • plastic pollution,
  • , citizen science,
  • Waste Watchers

Waste Watchers enables citizens to detect and map litter with drones and AI

By Klaas Pauly 19.10.2023
Worldwide, rivers transport 1 million kg of plastic waste into the ocean, every day! The best way to prevent this is to clean up litter while it is still..
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New plant level statistics for phenotyping vegetable crops with MAPEO
  • AI,
  • MAPEO,
  • precision agriculture,
  • seed breeding,
  • drone based phenotyping

New plant level statistics for phenotyping vegetable crops with MAPEO

By Sam Oswald 25.09.2023
In the ever-evolving landscape of plant phenotyping, there's a pressing need to get more information about the health and growth of the plants growing in..
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An AI foundation model for airborne change detection
  • Infrastructure,
  • Change detection,
  • AI,
  • machine learning,
  • Digital Twin,
  • foundation model

An AI foundation model for airborne change detection

By Xenia Ivashkovych 21.08.2023
The Digital Reference map of Flanders (GRB) is a crucial foundation for creating a comprehensive digital twin of Flanders. It contains detailed..
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CORSA, EO data compression and processing with AI
  • EO Data,
  • AI,
  • data compression,
  • self-supervised learning,
  • CORSA

CORSA, EO data compression and processing with AI

By Bart Beusen 06.02.2023

With the huge amount of data being collected by several Earth observation missions, limitations in data downlink capacity and storage have become a major..

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Towards continuous land cover mapping at high resolution
  • deep learning,
  • AI,
  • land cover,
  • RapidAI4EO

Towards continuous land cover mapping at high resolution

By Wanda De Keersmaecker 03.01.2023

Timely information on land cover and land cover change is crucial to understand anthropogenic pressures on our environment, the state of ecosystems, and..

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Automatic fruit count to support crop management
  • deep learning,
  • AI,
  • precision agriculture,
  • automatic annotation,
  • data labelling,
  • proximal sensing

Automatic fruit count to support crop management

By Maria Culman Forero 12.12.2022
Fruit growers are constantly monitoring crops and optimizing their management in order to produce as many high-quality fruits as possible. But how much..
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Habitat mapping with AI to preserve Europe's natural capital
  • Biodiversity,
  • EO Data,
  • AI,
  • land cover,
  • Natural Capital Accounting

Habitat mapping with AI to preserve Europe's natural capital

By Bruno Smets 17.10.2022
Habitat Mapping is a key tool to assess progress towards the European Biodiversity 2030 targets as well as the global Aichi targets and more particular..
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Artificial Intelligence to detect marine plastic litter
  • drones,
  • EO Data,
  • AI,
  • artificial intelligence,
  • marine litter,
  • plastic pollution

Artificial Intelligence to detect marine plastic litter

By Els Knaeps 17.03.2022
Marine plastic litter is one of the major environmental problems we are facing today. Tons of plastics end up in our oceans hereby impacting marine..
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Demolition Guide: from waste management to circular materials stock management
  • deep learning,
  • AI,
  • circular economy,
  • urban mining,
  • Demolition Guide

Demolition Guide: from waste management to circular materials stock management

By Tanja Van Achteren 02.12.2021

Accelerate the transition to a sustainable world. It's not just our corporate goal, it's crucial to everything and everyone on our planet! For us as..

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Early & automated detection of Pine Wilt Nematode to safeguard European forests
  • AI,
  • MAPEO,
  • machine learning,
  • Disease detection,
  • Forest monitoring

Early & automated detection of Pine Wilt Nematode to safeguard European forests

By Nicolas Lewyckyj 21.06.2021

In the framework of the H2020 FOCUS project, an automated workflow has been developed to early detect individual trees affected by the Pine Wilt Nematode..

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Remote sensing for agriculture! A history with a bright future
  • Agriculture,
  • WatchITgrow®,
  • AI,
  • MAPEO,
  • CropSAR

Remote sensing for agriculture! A history with a bright future

By Laurent Tits 01.04.2021
Remote sensing and agriculture have been a winning combination for a long time. For us it all started in our early years with the start of the EU MARS..
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Object detection for plant phenotyping with Phase One and MAPEO
  • Agriculture,
  • drones,
  • AI,
  • MAPEO,
  • phenotyping,
  • Phase One,
  • object detection

Object detection for plant phenotyping with Phase One and MAPEO

By Carsten Wieser 12.02.2021

The use of drone imagery has revolutionized plant phenotyping research tremendously over the past few years. You can not only obtain more detailed and..

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CAPSAT, quantifying yields with combined Sentinel data!
  • Agriculture,
  • Sentinel,
  • AI,
  • CropSAR,
  • CAPSAT

CAPSAT, quantifying yields with combined Sentinel data!

By Jan Biesemans 08.10.2020

Europe has the ambitious objective to become a sustainable region by 2030. Circular Economy, Farm to Fork, Zero Pollution, Natural Capital, a modernized..

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Developing an object detection workflow for drone imagery
  • drones,
  • AI,
  • MAPEO,
  • precision agriculture,
  • phenotyping

Developing an object detection workflow for drone imagery

By Sam Oswald 17.08.2020

Drone imagery has been revolutionary for agricultural research applications; allowing us to understand plants, plant traits and the impacts of various..

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Palm tree mapping using deep learning on aerial images
  • Agriculture,
  • EO Data,
  • deep learning,
  • AI,
  • Red Palm Weevil

Palm tree mapping using deep learning on aerial images

By Maria Culman Forero 12.05.2020

When thinking of palm trees, most people start dreaming of beautiful beaches or stunning locations. But besides this ornamental aspect, palm trees also..

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Tailored placements for students from De Lift Education
  • Remote Sensing,
  • deep learning,
  • AI,
  • Passwerk,
  • De Lift

Tailored placements for students from De Lift Education

By Bart Beusen 27.01.2020

Young people with autism often have a special talent for specific tasks, e.g. repetitive tasks that require long attention spans, or for tasks on..

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Looking through the clouds to improve crop monitoring!
  • Time series,
  • Agriculture,
  • Sentinel-2,
  • EO Data,
  • deep learning,
  • AI,
  • Sentinel-1

Looking through the clouds to improve crop monitoring!

By Kristof Van Tricht 03.06.2019

For the past decades now, remote sensing has been increasingly contributing to many agricultural monitoring services by providing worldwide systematic..

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Artificial intelligence to detect asbestos in Flanders
  • AI,
  • artificial intelligence,
  • Actieplan Asbestafbouw,
  • asbestos

Artificial intelligence to detect asbestos in Flanders

By Jan Biesemans 26.03.2019

In 2018 the Flemish government agreed to develop a new policy to phase out asbestos in Flanders. A part of this policy (Actieplan Asbestafbouw) is to ..

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Deep learning keeps your feet dry
  • Image Processing,
  • deep learning,
  • AI

Deep learning keeps your feet dry

By Bart Beusen 30.01.2018

There’s no way around deep learning anymore. Since deep convolutional neural networks (CNNs) have started dominating the ImageNet Large Scale Visual..

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