MCQs 2026

NEEDS_REVIEW

NEEDS_REVIEW

NEEDS_REVIEW

NEEDS_REVIEW

The breakthrough lies in the sophisticated integration of machine learning (a subset of AI) algorithms with massive amounts of historical and real-time meteorological data, allowing the models to identify complex patterns and correlations that were previously undetectable.

Accurate monsoon predictions are vital for India's agrarian economy. These AI models will help farmers plan sowing, irrigation, and harvesting, and aid water resource managers in better allocation and flood/drought preparedness.

AI-driven monsoon prediction models leverage complex algorithms to analyze vast datasets, leading to improved accuracy and the ability to forecast monsoon behavior with longer lead times, which is crucial for agriculture and disaster management.

Semi-cryogenic engines, typically using propellants like Kerosene and LOX, offer advantages such as lower propellant costs and simpler ground handling and infrastructure compared to fully cryogenic engines that use extremely cold propellants like liquid hydrogen.

The semi-cryogenic engine is being developed as a key component for ISRO's Next Generation Launch Vehicle (NGLV) program, which aims to enhance India's launch capabilities for heavier payloads and future space missions.

ISRO's semi-cryogenic engine test for the NGLV program primarily uses a combination of Kerosene (Refined) and Liquid Oxygen (LOX) as propellants. This is a significant step towards developing more efficient and cost-effective launch vehicles.