GSI and IndiaAI Launch Mineral Targeting Initiative
In News
What Happened
Why It Matters
Background
History & Context
What Changed
- ▶
BEFORE: Mineral exploration relied heavily on surface manifestations and traditional manual analysis of geological data. NOW: AI and machine learning models process and integrate multiple layers of geophysical and geochemical data to identify concealed targets.
- ▶
BEFORE: Deep-seated minerals like Ni-PGE and REEs were difficult and time-consuming to locate due to a lack of surface evidence. NOW: Predictive algorithms can rapidly map high-probability zones across vast areas like the initial 39,000 sq. km target.
- ▶
BEFORE: Geological data, geochemical maps, and geophysical surveys were often analyzed in silos. NOW: The initiative fuses these varied datasets into a single AI-driven framework for comprehensive mineral targeting.
Prelims Angle
NCERT Connection
Practice Questions
Q1
Correct Statement(s)Consider the following statements regarding the joint initiative by GSI and IndiaAI for mineral targeting: 1. The initiative primarily focuses on surface-level coal and iron ore deposits across central India. 2. It utilizes machine learning models to integrate geological, geochemical, and geophysical data to locate deep-seated minerals. Which of the statements given above is/are correct?