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.

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

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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