Botswana Minerals Identifies Priority Targets

Botswana Minerals PLC (AIM: BMIN; BSE: BMIN) provides an update on its AI driven exploration programme over Licences 458 and 459 in Ngamiland, north west Botswana. These licences are part of the Company's 7,074 km² land holding in the north eastern Damara Belt, a region known for its potential to host copper and other important minerals.

The Company is progressing well with its fully funded programme, which aims to identify and rank the most promising exploration targets and identify the best copper prospect for drilling.

Key Findings So Far

• A copper anomaly stretching approximately 9.5 km has been identified east of a major fault
• A silver anomaly corridor of around 20 km has been mapped across a key fault zone
• A core zone of lead-zinc mineralisation, about 2.4 km long, has been identified within a larger trend to the west
• Several possible deposit types have been recognised, including Irish type (MVT), carbonate replacement, hydrothermal, and potential skarn systems

The next stage of work will include more detailed magnetic and gravity data analysis, additional geochemical testing, integration of hyperspectral satellite data, and a full review of historical drilling records. AI assisted analysis will be used to strengthen the geological interpretation.

Results from Phase 1 are helping the Company move from a broad regional view to more clearly defined targets. Current work suggests there may be two separate mineralised zones:

• A structurally controlled copper-silver trend linked to a major fault
• A western area more prospective for lead and zinc

At this stage, there are two possible explanations for the mineralisation: either it comes from one large system with different metals forming in zones, or from two separate but overlapping systems. Ongoing analysis is helping to refine these models and prioritise the best targets for follow-up work.

John Teeling, Chairman of Botswana Minerals, commented, "These early results are good. There are emerging copper, silver and lead zinc patterns in the new data. The AI models we are using assist with better and quicker interpretations of the data. Our objective is simple and clear. Identify drill targets."

Watch James Campbell's interview with StockBox on AI-Driven Copper Discovery.

This release has been approved by James Campbell, Managing Director of Botswana Minerals plc, a qualified geologist (Pr.Sci.Nat), a Fellow of the Geological Society of South Africa, a Fellow of the Southern African Institute of Mining and Metallurgy, a Fellow of the Institute of Materials, Metals and Mining (UK) and with over 40 years' experience in the diamond sector, specifically focusing on exploration, resource assessment and mining.