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DFD SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

Project "DFD" data sheet

The following table provides information about the project.

Coordinator
DEEP FORESTRY AB 

Organization address
address: KALLE BLANKS VAG 1
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

 Partnership

Take a look of project's partnership.

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

Map

 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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