Namibia’s mining sector is undergoing a fundamental shift from traditional, labor-intensive operations to data-driven, digitally optimized enterprises. Across the country, from uranium mines in the Erongo Region to zinc operations in the south and tin production in the west, technology is being deployed to solve mining’s oldest problems: poor connectivity, inefficient planning, unplanned downtime, and unpredictable ore recovery.

Four key pillars are driving this transformation: connectivity infrastructure, integrated planning platforms, AI-powered ore sorting, and homegrown analytics solutions. Together, they represent a coordinated effort to position Namibia as a leader in smart mining across Africa.

Connectivity Infrastructure: The Private LTE Revolution at Rössing Uranium

The foundation of any data-driven mine is reliable, high-speed connectivity. In April 2026, Rössing Uranium and MTC Namibia achieved a significant milestone with the commissioning of four private LTE towers at the Rössing open-pit mine, representing a **N3.7millioninvestment∗∗aspartofabroaderN3.7millioninvestment∗∗aspartofabroaderN10 million infrastructure upgrade .

Why Private LTE Matters for Mining

Open-pit mines present unique connectivity challenges. They cover vast areas with moving machinery, changing terrain, dust, vibration, and safety-critical operations operating simultaneously. Standard public mobile coverage is rarely designed for such demanding environments .

At Rössing, the consequences of poor connectivity were clear: delayed decisions, reduced visibility, and increased operational risk. As Managing Director Johan Coetzee stated, every truck dispatch, drill reading, and safety alert depends on strong, uninterrupted communication .

Operational Benefits Delivered

The private LTE network now supports:

• Real-time truck dispatch – Fleet management systems operate with sub-second latency
• Drill readings and GPS tracking – Continuous data flow from mobile equipment
• Safety alerts – Immediate notification of slope instability or other hazards
• Field worker communication – Reliable voice and data across the pit

The network was designed specifically around the mine’s geography and operational priorities, giving Rössing control over performance and coverage design that public networks cannot provide. This deployment also creates a foundation for future capabilities including connected sensors, remote monitoring, automated dispatch, predictive maintenance, and eventual migration to private 5G where the business case justifies it .

MTC’s Digital Mining Portfolio

The Rössing deployment is not an isolated case. At the 2025 Mining Expo in Windhoek, MTC officially launched its Digital Mining Portfolio, positioning the company as a key enabler of data-driven mining operations across the country . The portfolio focuses on private LTE networks, machine-to-machine connectivity, and real-time data solutions tailored specifically for the mining sector.

“Mining plays a central role in Namibia’s economy as a major employer and net exporter,” said Elton Katangolo, General Manager of Sales, Enterprise and Customer Relations at MTC. “At MTC, we understand that to truly power this sector, we must go beyond mobile connectivity and provide robust, intelligent digital infrastructure” .

Integrated Planning: MineRP’s Success at Rosh Pinah

Infrastructure alone does not optimize a mine. Data must be integrated, analyzed, and acted upon. The Rosh Pinah underground zinc-lead mine, operated by Trevali and in continuous operation since 1969, faced a common challenge: excellent mine plans on paper, but persistent difficulty accurately forecasting production .

The Challenge: Siloed Planning and Reactive Execution

Rosh Pinah struggled with merging interdepartmental short-term plans, performing conflict resolution, orchestrating pre-shift tasking, and controlling the impact of unplanned work during shifts. Production schedules and maintenance schedules often conflicted, creating constraints on tonnage capacity .

The mine partnered with MineRP, an Epiroc-owned software company specializing in digitally-enabled enterprise interoperability, integrated planning, execution, and analytics .

The Solution: Integrated Operating Schedule (IOS)

MineRP developed an Integrated Operating Scheduling (IOS) system designed to improve planning and execution. Unlike traditional planning approaches that treat production and maintenance as separate domains, the IOS reflects all planned work—not just production activities. This de-conflicts scheduling between production and maintenance, ensuring no constraint on tonnage capacity arises from inter-departmental conflicts .

A parallel Short-Term Dilution Management solution was implemented to stabilize plant feed quality, combined with continuous volumetric monitoring .

The Results: Working the Plan, Not Just the Mine

The impact was measurable. As MineRP’s Jurgens Visser explained, “We always say that a mine should plan the work and work the plan. What often happens is that they plan the work, and work the mine, so to speak. They get underground and do whatever they are able to do, since there are so many interruptions and unexpected conditions to deal with” .

With the IOS in place, Rosh Pinah achieved:

• Development on budget – Tunnel development aligned with financial targets
• Better control of grade according to plan – Improved reconciliation between planned and actual ore quality
• Daily tons exceeding targets – During Q3 2021, the mine exceeded daily targets almost every day

AI-Powered Ore Sorting: TOMRA XRT at Andrada’s Uis Tin Mine

The third pillar of Namibia’s mine optimization story is sensor-based ore sorting, which dramatically improves efficiency by rejecting waste material before it enters the energy-intensive processing circuit.

The Technology: XRT Sorting with Deep Learning

Andrada Mining has purchased TOMRA XRT sorters for its flagship Uis Tin Mine as part of expansion plans to increase tin concentrate from 1,500 to 2,600 tonnes per annum . The pre-concentration circuit is expected to increase the tin content of the feed to the wet processing plant by 50% .

The sorters feature TOMRA’s groundbreaking OBTAIN™ software, which leverages Deep Learning to deliver single-particle precision in high-throughput ore sorting—an industry first. The software uses a Neuronal Network to identify the properties of each particle accurately and independently of the sorter’s capacity, achieving unparalleled precision and reliability in detection and ejection .

Operational Advantages

The deployment includes:

• One COM Tertiary XRT 1200 for coarse size fractions
• Two COM Tertiary XRT Fines sorters for small particle sizes, equipped with high-resolution TS100C ejection modules that use 90% less compressed air to eject particles, dramatically reducing energy consumption

Beyond immediate sorting performance, OBTAIN™ provides Andrada with a wealth of detailed data, enabling continuous process optimization through better-informed decision-making .

CEO Perspective

“TOMRA’s XRT sorters are a game-changer, combining high-tech sensors, powerful sorting valves, and industry-leading software for exceptional reliability,” said Anthony Viljoen, CEO of Andrada Mining. “With TOMRA’s OBTAIN™ imaging software, we can boost production output while maximizing mineral recovery and ore quality—a win-win for efficiency and earnings” .

Homegrown Innovation: Geosynth’s AI-Powered Exploration Platform

Namibia is not just importing technology; it is building it. Geosynth, a Windhoek-based startup founded by three young Namibian and Nigerian entrepreneurs, has developed a data-driven intelligence platform designed to solve one of mining’s oldest and most expensive problems: the high failure rate of exploration drilling .

The Problem: Exploration as Gambling

Mineral exploration is where fortunes are made and where even greater fortunes are lost. Companies pour millions into surveys, sampling, and drilling with no guarantee that anything viable lies beneath the surface. The global industry has lived with this reality for over a century, accepting it as simply the cost of doing business .

The Solution: Data-Driven Targeting

Geosynth’s platform gives exploration teams the ability to make smarter decisions before capital is committed. Using data-driven intelligence and analytical tools, it reduces failed drill programmes, sharpens targeting, and brings a level of precision to early-stage exploration that the industry has long needed .

Validation at Mining Indaba

At the 2026 African Mining Indaba in Cape Town—historically not a room that looks to Africa for its technology—the Geosynth team earned respect from senior geologists who praised the platform’s ability to process complex geological data in ways that localized software handles better than any imported alternative, precisely because it is built by people who understand the terrain .

The team returned to Windhoek with investor interest, follow-up meetings, and a sharper product roadmap shaped by feedback on robust offline functionality for remote sites and seamless integration with legacy geological databases .

Condition-Based Maintenance: Proactive Equipment Management

The fourth pillar of mine optimization is ensuring equipment operates reliably. Condition-Based Maintenance (CBM) is gaining traction across Namibia’s mining sector as a proactive approach that monitors assets in real-time, identifying issues before they escalate .

From Reactive to Predictive

For decades, many mines relied on reactive maintenance—machines ran until they broke down, leading to unplanned downtime and hefty repair costs. The shift toward predictive maintenance uses data-driven insights to guide when maintenance should occur .

How CBM Works

Sensors embedded in machinery transmit real-time data on variables like vibration, temperature, and pressure. Advanced analytics and machine learning algorithms detect even subtle deviations from normal operation, predicting potential failures before they occur .

For Namibia’s mining sector, where heavy machinery like crushers, conveyors, and drills are central to operations, CBM means fewer disruptions, safer work environments, and more efficient resource allocation. Maintenance is performed only when signs of deterioration appear, rather than on a fixed schedule that may be either too early (wasting resources) or too late (allowing failure) .

Satellite Remote Sensing and Machine Learning for Exploration

At the cutting edge of mine optimization, researchers are combining satellite remote sensing and machine learning to identify mineral deposits without costly ground surveys.

A 2025 study focusing on Namibia’s Erongo Region employed Sentinel 2 and Landsat 8 multispectral data, combined with Support Vector Machine (SVM), Random Forest (RF), and Maximum Likelihood Classification (MLC) algorithms, to map and identify mineralization-indicative zones .

The results showed that Random Forest achieved the highest accuracy on Landsat 8 data, while Maximum Likelihood Classification performed best on Sentinel 2 data due to its higher spatial resolution enabling improved delineation of alteration zones .

This approach supports efficient and low-impact mineral prospecting in remote environments, reducing the need for extensive ground surveys and enabling more targeted exploration drilling.

Expert Perspective: The Efficiency Imperative

Silas David, a registered professional geoscientist and president of Geology Applied to Mineral Deposits of Namibia, has outlined the efficiency potential of digital transformation in the sector .

Writing in 2023, David noted that Namibia’s mining industry is the foundation for most of the country’s industrial capacity, but traditional field methods are becoming extremely expensive. Productivity rates are dropping due to maintenance costs, unreliable equipment, reactive troubleshooting, low-capacity factors, and safety violations .

He quantified the potential improvements:

• 10–20% overall efficiency increase through dispatching systems, diagnostic systems, and predictive maintenance
• 5–15% productivity increase for excavator and truck fleets through automatic dispatching
• Up to 8% reduction in equipment operating costs
• 5–10% reduction in fuel expenditure
• 80% reduction in non-technological downtime

Outlook: From Pilot to Standard Practice

As 2026 progresses, Namibia’s mining sector is moving from pilot projects to standard practice in data analytics and mine optimization. The Rössing private LTE network is operational. The Rosh Pinah integrated planning system is proven. The Andrada TOMRA sorters are being installed. Geosynth is gaining investor traction.

The common thread across these deployments is connectivity as the foundation, integrated planning as the framework, AI and machine learning as the differentiators, and proactive maintenance as the sustainability enabler.

As MTC’s Dr. Licky Erastus noted, “Reliable, high-performance communication gives teams better tools to make real-time decisions and work with greater confidence” . In an industry where seconds can matter and visibility drives value, Namibia is building the digital infrastructure to compete—and lead.