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GS Paper - 3

National Science Day 2026

India celebrated National Science Day on 28th February 2026. This day serves as a national tribute to the scientific temper of the country and commemorates the historic discovery of the 'Raman Effect' by Sir C.V. Raman in 1928.

2026 Theme: "Women in Science: Catalyzing Viksit Bharat"

Historical Context: The Government of India designated 28th February as National Science Day in 1986, with the first celebration held in 1987.

Sir C.V. Raman: A Legacy of Innovation

Sir Chandrasekhara Venkata Raman remains a towering figure in global physics. His work fundamentally altered our understanding of the quantum nature of light.

Key Achievements & Honors

Nobel Prize (1930): He was the first Asian and the first non-White individual to win a Nobel Prize in any scientific field.

Distinctions:

  • Fellow of the Royal Society (FRS): 1924
  • Knighted: 1929
  • Bharat Ratna: 1954
  • Lenin Peace Prize: 1957

Institutional Building

Beyond his personal discoveries, Raman was an architect of India’s scientific infrastructure:

  • Indian Journal of Physics (1926): Providing a platform for Indian research.
  • Indian Academy of Sciences (1934): Promoting the cause of science.
  • Raman Research Institute (1948): Established in Bengaluru to foster advanced research.

Understanding the Raman Effect

Discovered in collaboration with K.S. Krishnan, the Raman Effect is the phenomenon where light passing through a transparent material undergoes a change in wavelength due to interaction with molecular vibrations.

Applications of Raman Spectroscopy

The Raman effect is the cornerstone of Raman Spectroscopy, a non-destructive analytical technique used to determine molecular structure. Its modern applications include:

  • Chemistry and Materials Science: It is used to identify unknown organic and inorganic compounds by analyzing their vibrational modes. It is also instrumental in characterizing the structure of materials, such as determining the quality of carbon nanotubes, analyzing stress and strain in semiconductors, and identifying different polymorphic forms of chemical substances.
  • Medicine and Biology: Because it works effectively in aqueous environments and does not require invasive sample preparation, it is widely used to study proteins, DNA, and other biological tissues. It assists in disease diagnosis by detecting biochemical markers and enables the real-time monitoring of physiological changes at the cellular level.
  • Forensic Science: Raman spectroscopy is highly valued for its ability to analyze evidence without destroying it. It can identify trace amounts of illicit drugs, explosives, or hazardous materials, even when they are contained within sealed evidence bags or glass containers.
  • Nuclear Science: In the context of nuclear forensics, this technique is utilized for the safe characterization and monitoring of nuclear materials. It helps in identifying the oxidation states and crystal phases of substances like uranium and plutonium oxides, providing critical data for tracking the processing history of nuclear materials without the need for direct handling of radioactive samples.

Source: PIB
GS Paper - 3

Re-engineering India’s Agricultural Landscape: From Subsistence to Bio-Economic Powerhouse

Indian agriculture, valued at nearly $600 billion, is the backbone of the nation, supporting approximately 45% of the workforce. While it contributes 15–18% to the Gross Value Added (GVA), a significant disparity exists: India produces massive quantities of foodgrains, milk, and vegetables, yet captures only 2.5–3% of the $8 trillion global agri-food trade.

To bridge this gap, India is transitioning from a "Green Revolution" (volume-based) to a "Green-Gold Revolution" (value-based), focusing on market linkages, digitization, and climate resilience.

I. Current Developments Fueling Agricultural Growth

The government is deploying high-tech infrastructure and targeted schemes to modernize the sector.

1. Digital Public Infrastructure (DPI)

AgriStack & Bharat-VISTAAR: Aimed at resolving information asymmetry. As of February 2026, over 8.48 crore Farmer IDs have been generated across 14 states.

Digital Crop Survey: Mapping 28.5 crore plots to enable precision-targeted governance and reduce subsidy leakages.

AI Integration: The Bharat-VISTAAR platform provides multilingual AI advisories, while the Kisan e-Mitra chatbot handles 8,000+ daily queries in 11 regional languages.

2. Strategic Financial & Regional Interventions

PM Dhan-Dhaanya Krishi Yojana: A ₹24,000 crore initiative targeting 100 low-productivity districts to uplift 1.7 crore marginalized farmers through localized agronomic support.

Post-Harvest Agriculture Infrastructure Fund (AIF): Provides a 3% interest subvention. As of early 2026, it has sanctioned ₹80,224 crore for over 1.5 lakh projects, turning farmers into agripreneurs.

3. Mission for Aatmanirbharta (Self-Reliance)

Pulses and Oilseeds: A ₹11,440 crore outlay to decouple food security from volatile global imports.

Institutional Procurement: Guaranteed buying of tur, urad, and masoor to incentivize the cultivation of nitrogen-fixing crops that restore soil health.

4. Technology & Climate Resilience

Namo Drone Didi: A ₹1,261 crore scheme equipping women Self-Help Groups (SHGs) with 15,000 drones for precision spraying and crop monitoring.

Climate Insurance: Systems like YES-TECH and WINDS use AI for rapid loss assessment. In Kharif 2025, ₹14,000 crore was transferred to 90 lakh farmers in Maharashtra alone.

II. Key Challenges Plaguing the Sector

Despite progress, deep-rooted structural issues continue to hinder total profitability.

1. Environmental & Ecological Stress

Climate Volatility: In 2025, India faced extreme weather on 331 out of 334 days, damaging 17.4 million hectares of crops.

Soil Fatigue: Distorted subsidies have led to a nitrogen-heavy fertilizer ratio of 10.9:4.1:1 (N:P:K), far from the ideal 4:2:1.

Water Crisis: Agriculture consumes 80% of freshwater, but micro-irrigation covers only 83.45 lakh hectares. Over-reliance on tubewells is depleting aquifers in the northern "breadbasket."

2. Structural & Economic Bottlenecks

Land Fragmentation: Average landholding has shrunk to 1.08 hectares, with 86% of farmers being small or marginal, making mechanization difficult.

Post-Harvest Losses: India loses approximately ₹92,651 crore annually due to a lack of cold chains. Perishables see wastage rates of 20–30%.

Credit Asymmetry: Despite schemes like MISS (Modified Interest Subvention Scheme), tenant farmers often remain excluded from formal credit, falling into informal debt traps.

3. Market & Trade Imbalances

Cereal Bias: Minimum Support Price (MSP) systems favor water-intensive wheat and paddy, leading to cereal gluts while India spent ₹1.61 lakh crore importing edible oils in 2024–25.

Digital Divide: High upfront costs and digital illiteracy prevent smallholders from fully adopting NextGen precision tools.

III. Strategic Measures for Enhanced Profitability

To make farming a lucrative business, a shift toward high-value, tech-driven models is required.

1. Crop Diversification & Bio-Economy

High-Value Crops: Transition to "money crops" like cocoa, sandalwood, and medicinal herbs.

BioE3 Framework: Linking farms to the nutraceutical and bio-industrial sectors for higher revenue per acre.

Horticulture Clusters: Establishing specialized boards (e.g., the Bihar Makhana Board) to target global wellness markets.

2. Infrastructure & Technical Optimization

First-Mile Solar Logistics: Building decentralized, solar-powered cold storage at the village level to prevent distress sales.

Genome-Edited Seeds: Using CRISPR technology to develop climate-smart seeds resilient to heat, salt, and floods.

Drone-as-a-Service (DaaS): Utilizing drones to reduce chemical wastage by 30% and address labor shortages.

3. Institutional & Collective Strengthening

FPO Integration: Evolving Farmer Producer Organizations into sophisticated entities that bypass middlemen and negotiate directly with exporters.

Integrated Farming: Combining crop husbandry with livestock and fisheries to ensure steady daily cash flow and waste circularity.

Precision Financing: Using AgriStack data to offer parametric insurance and lower-risk credit products.

Conclusion
The future of Indian agriculture lies in transforming the farm from a survival plot into a data-driven production hub. By scaling Digital Public Infrastructure, investing in decentralized storage, and embracing climate-resilient biotechnology, India can finally ensure that the economic value of its produce stays where it is created: with the farmer.

Source: Hindustan Times
GS Paper - 3

India-AI Impact Summit 2026

Theme: Sarvajana Hitaya, Sarvajana Sukhaya (Welfare for all, happiness for all)

1. Introduction: A Global Shift in Perspective

The India-AI Impact Summit 2026, held at Bharat Mandapam in New Delhi, marks a historic milestone as the first major global Artificial Intelligence summit hosted in the Global South.

Organized by the Ministry of Electronics and IT (MeitY), the summit fundamentally shifts the global AI narrative:

From: A focus on "AI Safety" and existential risks (often the priority of developed nations).

To: "AI for Development and Impact" (focusing on solving real-world challenges).

2. The Core Philosophy

The summit is anchored in the Indian ethos of inclusive growth, structured around two conceptual frameworks:

The Three Sutras (Pillars)
People:
Empowering citizens through healthcare, education, and financial inclusion.

Planet: Using AI for climate resilience, sustainability, and resource efficiency.

Progress: Driving economic growth, efficient governance, and public service delivery.

The Seven Chakras (Working Groups)
To execute these pillars, the summit focuses on seven key themes:

  1. Health
  2. Agriculture
  3. Safe & Trusted AI
  4. Science
  5. Inclusion
  6. Democratizing AI Resources
  7. Economic Development

3. Real-World Impact: How AI is Transforming India

The summit highlights Applied AI—moving beyond theory to actual implementation across three critical areas:

A. For People: Bridging Inequities

Healthcare: AI is solving the doctor shortage (1:834 ratio).

Example: Qure.ai provides radiology diagnostics, and automated tools offer "lab-grade" results in rural clinics.

Education: Personalized learning and overcoming language barriers.

Example: DIKSHA offers adaptive learning; YUVAi equips students (Classes 8–12) with AI skills.

Linguistic Inclusion:

Example: Bhashini allows real-time translation in 22 Indian languages.

Example: Sarvam Vision provides indigenous OCR for Indian languages, reducing reliance on foreign models.

B. For Planet: Precision & Sustainability

Agriculture: AI analyzes soil and weather to aid farmers.

Example: Kisan E-Mitra is a chatbot for fertilizer optimization; MausamGPT provides hyper-local weather advisories.

Climate Resilience:

Example: BrahmaSATARK forecasts floods in the Brahmaputra and Ganga basins.

Energy: AI integrates with smart grids to manage solar and wind energy fluctuations, aiding India's 2070 Net Zero goal.

C. For Progress: Economy & Governance

Economic Growth: AI is projected to add USD 500–600 billion to India's GDP by 2030.

Governance & Security:

Example: MuleHunter.AI detects fraudulent banking accounts.

Example: BharatGen is the world’s first government-funded multimodal Large Language Model (LLM) for public services.

4. Why This Summit Matters Globally

The summit positions India as a "Bridge Power" connecting the technology-rich West with the technology-needy Global South.

Voice of the Global South: It prioritizes issues like healthcare access and agricultural productivity over theoretical risks.

Democratization of Tech: It advocates for an "AI Commons"—ensuring developing nations have access to computing power and datasets, preventing monopolies by tech giants.

Digital Public Infrastructure (DPI): India is showcasing its DPI success (like UPI and Aadhaar) as a scalable blueprint for global AI implementation.

5. The Engine: IndiaAI Mission

The summit is powered by the IndiaAI Mission (Budget: Rs 10,371 crore). Its goal is "Making AI in India and Making AI Work for India."

The 7 Pillars of the Mission:

Compute: Access to over 38,000 GPUs for startups/researchers at reduced costs.

Application Development: Solving specific problems in health, agri, and governance.

AIKosh: A national repository of 3,000+ datasets and 243 models.

Foundation Models: Funding indigenous models (e.g., Sarvam AI, Gnani AI).

FutureSkills: Academic programs and labs in Tier 2/3 cities.

Startup Financing: Funding and global market access for AI startups.

Safe & Trusted AI: Establishing the IndiaAI Safety Institute and ensuring bias mitigation.

6. India’s AI Ecosystem at a Glance (2025-26)

Workforce: 6+ million tech employees; AI talent pool to reach 1.25 million by 2027.

Innovation: 1,800+ Global Capability Centres (500+ focused on AI).

Startups: 1.8 lakh startups; 89% of new startups used AI last year.

Adoption: 87% of enterprises are actively using AI solutions (NASSCOM Index).

7. Key Outcomes of the Summit

Deliverables: Commitment to at least 15 tangible outcomes in governance and innovation.

Global Supply Chain: India’s entry into the US-led Pax Silica initiative to build resilient semiconductor supply chains.

Safety Expansion: Promoting the IndiaAI Safety Institute model for collaborative global research.

Workforce Focus: Strengthening AI's role in job creation rather than just displacement.

Source: PIB
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