SubsidieMeestersAutoforestation Mode: ON
Forest Maker is an automated planting platform that streamlines reforestation and data collection to enhance efficiency and management in restoring global woodlands.
Projectdetails
Introduction
At the current deforestation rate, it is estimated that there will be no forests left in between 100 to 200 years. As such, restoring woodlands has become a priority for nations but remains a massive challenge worldwide.
Challenges in Forest Restoration
Destruction is easy, but forest restoration has inherent problems of:
- Scale
- Speed
- Efficiency
- Cost
The modest results of massive reforestation projects show that the current state-of-the-art solutions cannot get the job done fast enough. Forestry is significantly behind, compared to other sectors, in digitalization, precision, and efficiency.
Solution: Forest Maker
Forest Maker is a new-generation integrated automated planter platform. It is an all-in-one solution that performs the entire planting and data collection process without stopping, guided by software for the creation of a digital twin of the forest for precise and easy management.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.574 |
| Totale projectbegroting | € 3.570.820 |
Tijdlijn
| Startdatum | 1-8-2022 |
| Einddatum | 31-7-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- RISUTEC OYpenvoerder
Land(en)
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Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
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Transcending European Wood to dramatically decrease the CO2 footprint of the construction industryLIFE-WOODTECH aims to enhance EU wood durability through a patented acetylation process, reducing GHG emissions and creating jobs while promoting sustainable forestry practices. | LIFE SAP | € 2.000.472 | 2023 | Details |
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Autonomous Robots in agroforestryHet project onderzoekt de technische en economische haalbaarheid van een robot voor wieden en oogsten in voedselbossen, om duurzame voedselproductie te ondersteunen. | MIT Haalbaarheid | € 19.568 | 2021 | Details |
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This project aims to enhance understanding and monitoring of forest disturbances and recovery using advanced 3D models and satellite data across diverse ecosystems, improving carbon stock forecasting.
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