Description du projet
Voler bas pour cartographier la forêt
La technologie des drones a vraiment décollé. Ces véhicules aériens sans pilote ont de nombreuses utilisations – de la photographie aérienne à la pulvérisation de pesticides ou pour faire fuir les oiseaux qui ravagent les récoltes. Pour les professionnels de la sylviculture, la technologie des drones peut être utilisée pour fournir une cartographie forestière précise. Le projet DFD, financé par l’UE, va permettre de mettre au point le premier drone autonome, léger et maniable, capable de voler entre les arbres. Voler sous la canopée procure aux consommateurs des outils qui n’étaient pas disponibles auparavant: des analyses de précision, des algorithmes de classification robustes et des itinéraires de récolte optimisés. La technologie DFD, qui utilise l’intelligence artificielle (IA), devrait fournir plus de données en amont de la chaîne de valeur forestière qu’il n’est actuellement possible. Le projet élaborera une stratégie de mise sur le marché.
Objectif
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.
Champ scientifique
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
740 11 Lanna
Suède
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.