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Climate Mitigation & Mining

Machine Learning Optimizes Afforestation for Carbon Offset

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Phys.org Earth Sciences

As reported by Phys.org Earth Sciences, a new machine learning tool has been developed to pinpoint optimal locations for tree planting, offering a potential solution for climate change mitigation. Afforestation, or establishing forests on previously non-forested land, is recognized as a cost-effective method for offsetting carbon emissions. This development is particularly relevant to the mining industry, as companies like Pure Minerals seek to minimize their environmental footprint. The European Union's Biodiversity Strategy for 2030 aims to convert at least 10% of agricultural land into forest, highlighting the growing importance of sustainable practices in land use and management.