Opendata, web and dolomites


Deep Forestry Drones - revolutionising forestry mapping and analysis with artificial intelligence

Total Cost €


EC-Contrib. €






 DFD project word cloud

Explore the words cloud of the DFD project. It provides you a very rough idea of what is the project "DFD" about.

added    analytical    bad    forestry    diseases    valuations    customers    inaccurate    quality    phone    first    consuming    time    market    create    unable    smaller    optimized    inability    evaluation    volume    routes    transform    ab    crisis    10    roi    unavailable    assessments    wildfires    precision    provides    tools    thought    terrain    small    revenue    boulders    strategy    data    solutions    estimates    mitigating    class    mapping    react    improper    initial    lidar    optimizing    difficult    cut    species    harvesting    trees    plan    launched    boggy    economy    analytics    human    lower    mind    weight    forces    photogrammetry    risks    below    advantage    assessing    drawbacks    ai    canopy    platforms    commercialization    autonomous    wood    events    dead    forests    companies    accurate    fallen    front    drone    light    fly    scaling    manual    international    agile    turn    deep    chain    desirable    classification    algorithms    mobile    estimation    map    precise    flying    error    streams    business    little    productivity    leads    eliminating    commercial    previously   

Project "DFD" data sheet

The following table provides information about the project.


Organization address
city: LANNA
postcode: 740 11
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2020-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEEP FORESTRY AB SE (LANNA) coordinator 50˙000.00


 Project objective

Forestry mapping is key for the economy, yet most of the mapping work is manual today, allowing assessments of only 5-10% of trees. The results of improper forestry mapping range from the inability to react to crisis events such as wildfires or diseases, lower productivity and inaccurate valuations. To solve this problem, many companies have launched mobile phone-based platforms and above canopy LiDAR or photogrammetry, but these products often come with several drawbacks, e.g. they do not provide an accurate understanding of the most desirable forestry characteristics such as wood value (quality) class, species type, volume estimation and bad wood estimates. They are also unable to provide a detailed map of the terrain (boggy areas, small streams, boulders, dead-wood, fallen trees, etc.). These drawbacks cause the existing solutions to become difficult to use and time-consuming, while providing very little added advantage over traditional methods. In turn, this forces companies to create less value and leads to smaller ROI.

Deep Forestry AB built the first agile, light-weight, autonomous drone to fly below the canopy of commercial forests, that is, in-between the trees. Flying below the canopy provides our customers with analytical tools which were previously unavailable: precision analytics, robust classification algorithms, and optimized harvesting routes. They will help companies to cut their costs and increase revenue while mitigating risks and eliminating human error. Our new (Drone AI) technology will provide more data to the front-end of the forestry value chain than has ever been thought possible.

The key objective of our project is to transform an initial business plan into a robust strategy for international commercialization. With this goal in mind, our Phase 1 project will focus on a more precise market evaluation, assessing technical requirements for further scaling and optimizing our go-to-market strategy.

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The information about "DFD" are provided by the European Opendata Portal: CORDIS opendata.

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