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Rapid tree-planting through the use of remote sensing and unmanned vehicle planting technologies for large scale reforestation

Objective

Currently used methods for reforestation and tree-planting such as hand planting and direct seeding are time-consuming and expensive. As a result tree-planting has been unable to keep up with number of trees lost each year. Right now we are facing a net global loss of 6.6 billion trees each year.
The EU is currently seeking out solutions to facilitate the sustainable supply of materials for the future and BioCarbon Engineering have developed a planting system to enable industrial scale reforestation protecting and regenerating forest resources. The planting system developed by BioCarbon Engineering consists of a mapping unmanned aerial vehicle (UAV), a planting UAV and machine learning software. It is a massive improvement on current reforesting techniques being a fully automated process and it will simultaneously enable cheaper and faster tree planting (10 seeds planted per UAV per minute). Given that the planting is being carried out by an aerial vehicle, it is possible to plant in terrain that is inaccessible by land-based approaches. It therefore offers a higher return on investment since it can carry out the same activity at a lower cost while also having a greater reach for tree planting.
The Phase 1 project will be focused on establishing a complete supply chain, a sound business model and commercialization strategy, a planning of all activities for deploying a large scale pilot with the automated planting solution being demonstrated out in different ecosystems throughout Europe, as well as the elaboration of an industrialization and marketing plan.

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics/autonomous robots/drones
  • /engineering and technology/environmental engineering/remote sensing
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SMEINST-1-2015
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

BIOCARBON ENGINEERING LTD
Address
238 Marlborough Road
OX1 4LU Oxford
United Kingdom
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000