PIB Summaries 13 October 2025
Content India’s Mission for Aatmanirbharta in Pulses Transforming India with AI India’s Mission for Aatmanirbharta in Pulses Why in News Launched by PM Narendra Modi on October 11, 2025, at IARI, New Delhi. Outlay: ₹11,440 crore (2025–26 to 2030–31). Goal: Achieve complete self-reliance in pulses by 2030–31 and eliminate import dependence by December 2027. Relevance : GS 3 – Agriculture, Inclusive Growth, Food Security, Nutritional Security, MSP Reforms, Sustainable Farming Background and Context India is theWorld’s largest producer (≈25%), consumer (≈27%), and importer (≈14%) of global pulses. Current production (2024–25): 252.38 lakh tonnes (↑31% since 2013–14). Imports (2023–24): 47.38 lakh tonnes; exports: 5.94 lakh tonnes. Despite progress, domestic production lags behind demand, necessitating a self-reliance mission. Aligned with Vision 2047 and Aatmanirbhar Bharat Abhiyan. Significance of Pulses Contribute 20–25% of total protein intake in Indian diets (NIN data). Crucial for nutritional security, soil nitrogen fixation, and farm income diversification. Per capita consumption below recommended 85 g/day — linked to protein deficiency. Environmental benefits: low water footprint, improves soil fertility and sustainability. Mission Objectives Achieve Aatmanirbharta (self-sufficiency) in pulses by 2030–31. Expand pulses area to 310 lakh ha (↑35 lakh ha from 2024–25 baseline). Increase production to 350 lakh tonnes; improve yield to 1,130 kg/ha. Reduce imports to zero and ensure 100% MSP procurement for Tur, Urad, and Masoor for four years. Empower 2 crore farmers via quality seeds, procurement assurance, and market linkage. Key Components and Interventions Seed Revolution: 126 lakh quintals of certified seeds distributed. 88 lakh free seed kits to farmers. Use of SATHI (seedtrace.gov.in) for seed authentication and traceability. Development of high-yielding, pest-resistant, and climate-resilient varieties. Procurement Security: 100% MSP procurement of Tur, Urad, and Masoor under PM-AASHA. NAFED and NCCF to manage procurement. Value Chain & Infrastructure: Establish 1,000 processing and packaging units, with subsidies up to ₹25 lakh/unit. Focus on cluster-based approach (as per NITI Aayog recommendations). Soil & Climate Sustainability: Promotion of balanced fertilizer use, intercropping, crop diversification, and mechanization. Integration with ICAR and KVKs for field demonstrations and technology dissemination. Technological & Institutional Innovations SATHI Portal (Seed Authentication, Traceability & Holistic Inventory): Tracks the full seed life cycle — from breeder seed to sale. Ensures quality assurance, transparency, and accountability in seed supply. Digital Monitoring: Data-driven decision-making via SAATHI and ICAR monitoring systems. Breeder & Foundation Seed Plans: State-wise rolling five-year seed production plans supervised by ICAR. PM-AASHA Integration Launched: 2018, continued in 2024. Components: Price Support Scheme (PSS), Price Deficiency Payment Scheme (PDPS), Market Intervention Scheme (MIS). Objective: Protect farmers from distress sales, ensure price stability, and promote pulses and oilseeds cultivation. NITI Aayog’s Recommendations (Sept 2025 Report) Based on survey of 885 farmers from Rajasthan, MP, Gujarat, Andhra Pradesh, and Karnataka. Key Suggestions: Expand pulses into rice fallows and diversify cropping patterns. Develop “One Block–One Seed Village” model for seed self-sufficiency. Strengthen FPO-based seed hubs for localized production. Promote mechanization, efficient irrigation, and bio-fertilizers. Introduce climate-resilient and short-duration varieties. Establish local procurement centers and processing units to minimize middlemen. Integrate pulses into PDS, Mid-Day Meal, and Poshan Abhiyan to boost demand and nutrition. Implementation Framework Nodal Agency: Ministry of Agriculture & Farmers’ Welfare. Collaborating Institutions: ICAR, KVKs, NAFED, NCCF, State Agri Departments, and FPOs. Timeline: 2025–26 to 2030–31 (six years). Cluster-Based Implementation: Regional specialization for Tur (Deccan plateau), Urad (Central India), and Masoor (Northern plains). Expected Outcomes Self-sufficiency by 2027 for key pulses (Tur, Urad, Masoor). Zero import dependence by 2030–31. Increase in farmers’ income through assured MSP and value addition. Strengthened seed and processing infrastructure across India. Foreign exchange savings by cutting import bills. Improved soil fertility, climate resilience, and employment generation in rural areas. Challenges Ahead Yield gaps due to climatic variability and pest resistance. Low mechanization and poor irrigation coverage in pulse-growing belts. Ensuring timely MSP procurement and payments. Balancing expansion with ecological sustainability and water management. Need for strong coordination among central, state, and cooperative agencies. Conclusion The Mission for Aatmanirbharta in Pulses is a landmark step toward nutritional security, import substitution, and farmer empowerment. Integrates science, policy, and market reforms to transform India’s pulses sector. By 2030–31, India aims not only to be self-reliant but also a global leader in sustainable pulse production, contributing to Viksit Bharat 2047 through resilient agriculture, healthy citizens, and prosperous farmers. Value Addition Major Pulses Grown in India Pulse Type Major Producing States Sowing Season Key Growing Conditions Tur (Arhar/Pigeon Pea) Maharashtra, MP, Karnataka, UP, Gujarat Kharif (June–July) Warm climate; 25–35°C; rainfall 600–1000 mm; well-drained loamy soils Urad (Black Gram) MP, UP, Maharashtra, Rajasthan, Tamil Nadu Kharif & Rabi Tolerant to drought; requires 25–30°C; medium black soils Moong (Green Gram) Rajasthan, MP, Maharashtra, Karnataka, Andhra Pradesh Kharif & Summer 25–35°C; short-duration crop (60–70 days); sandy loam soils Masoor (Lentil) MP, UP, Bihar, West Bengal, Rajasthan Rabi (Nov–Apr) Cool temperature; 18–25°C; requires moderate irrigation Gram (Chickpea) MP, Maharashtra, Rajasthan, UP, Karnataka Rabi (Oct–Feb) Semi-arid climate; 20–25°C; loamy to sandy soils Peas (Matar) UP, Bihar, MP, Punjab, Haryana Rabi Cool, temperate climate; 15–20°C; clay-loam soils Cowpea (Lobia) Rajasthan, Gujarat, Karnataka, Tamil Nadu Kharif/Summer Drought-tolerant; sandy soils Area and Production (2024–25: 3rd Advance Estimates) Parameter Data Total Area under Pulses ~275 lakh hectares Production ~252.38 lakh tonnes Productivity ~915 kg/ha Top Producer State Madhya Pradesh (~30% of India’s total) Largest Exported Pulses Chickpea (mainly to Bangladesh, UAE, and Nepal) State-Wise Contribution (Share in Total Production, 2024–25 est.) Rank State Share (%) Major Crops 1 Madhya Pradesh 30–32 Gram, Tur, Urad, Masoor 2 Maharashtra 15–17 Tur, Gram, Urad, Moong 3 Rajasthan 12–13 Moong, Gram 4 Karnataka 8–9 Tur, Urad 5 Uttar Pradesh 7–8 Gram, Masoor, Pea Agro-Climatic Suitability Pulses can be grown in rainfed, marginal, and arid conditions. Optimal conditions: Temperature: 18–35°C (varies by crop). Rainfall: 400–1000 mm. Soils: Loamy, sandy loam, or black cotton soils with good drainage. Pulses are short-duration crops (60–120 days) ideal for intercropping and crop rotation. Pulses and Soil Health Nitrogen fixation: Pulses host Rhizobium bacteria in root nodules, fixing atmospheric N₂ into soil — reduces fertilizer use. Improves soil structure and organic matter, promoting sustainable agriculture. Ideal for inclusion in crop rotation systems (e.g., Tur–Wheat, Gram–Maize). Transforming India with AI Why in News IndiaAI Mission (₹10,371.92 crore) has achieved 38,000 GPUs, marking a major step in AI infrastructure. India is positioning itself as a global AI hub, combining inclusive innovation with economic transformation. Relevance : GS 3 – Science & Technology, IT & Computers, Inclusive Growth, E-Governance, Innovation & Employment Generation What is Artificial Intelligence (AI)? Definition: AI enables machines to perform tasks that require human-like intelligence — learning, reasoning, decision-making, and problem-solving. Core Components: Machine Learning (ML) – Algorithms that learn from data. Deep Learning (DL) – Neural networks mimicking human brain patterns. Natural Language Processing (NLP) – Understanding human language. Computer Vision – Image and pattern recognition. Generative AI – Produces new content (text, image, audio). India’s approach: “AI for All” — open, affordable, and accessible. AI Landscape in India (2025 Snapshot) Tech Revenue: Projected to cross $280 billion (2025). Employment: 6 million people in tech & AI ecosystem. Startups: 1.8 lakh total, with 89% using AI. Global Capability Centres (GCCs): 1,800+, with 500+ AI-focused. AI Adoption: 87% enterprises use AI; NASSCOM Index score 2.45/4. Sectors leading adoption: BFSI, Healthcare, Retail, Manufacturing, and Automotive (≈60% of AI value). Global Recognition: Top 4 in AI skills and policy ecosystem (Stanford AI Index 2025). 2nd largest contributor to AI projects on GitHub. Economic Impact Projected contribution: $1.7 trillion to India’s GDP by 2035 (NITI Aayog estimate). Boosts productivity, governance efficiency, and innovation across public and private sectors. Aligns with Viksit Bharat 2047 — technology-driven inclusive development. IndiaAI Mission (Launched 2024) Budget: ₹10,371.92 crore (5 years). Vision: “Make AI in India and Make AI Work for India.” Implementing Agency: IndiaAI Division under MeitY. GPU Capacity: Target of 10,000 → achieved 38,000 GPUs (affordable compute at ₹65/hour). Seven Pillars of the IndiaAI Mission Pillar Focus Key Outcomes 1. IndiaAI Compute Affordable high-end GPUs 38,000 GPUs deployed 2. IndiaAI Application Development AI for India-specific challenges 30+ approved apps (cybersecurity, agriculture, climate) 3. AIKosh (Data Platform) Unified data repository 3,000 datasets, 243 AI models, 6,000 registered users 4. IndiaAI Foundation Models Indigenous LLMs 4 startups selected (Sarvam, Soket, Gnani, Gan AI) 5. IndiaAI FutureSkills AI talent ecosystem 13,500 fellowships, 27 AI labs in Tier-2/3 cities 6. IndiaAI Startup Financing Funding & global expansion Collaboration with Station F (Paris), 10 startups supported 7. Safe & Trusted AI Ethics, privacy, bias mitigation 8 research projects, AI Safety Institute in progress Supporting Initiatives A. Centres of Excellence (CoEs) Focus sectors: Healthcare, Agriculture, Sustainable Cities, Education. Linked with 5 National Centres for AI Skilling. B. AI Competency Framework Structured AI training for government officials to enhance policy and service design. C. IndiaAI Startups Global Acceleration Programme Collaboration with Station F and HEC Paris to globalize Indian AI innovation. Key Indian AI Projects Initiative Purpose Impact Sarvam AI Building India’s sovereign LLM ecosystem AI-driven Aadhaar services Bhashini Multilingual AI platform 20 languages, 350 models, 1M+ downloads BharatGen AI (2025) Government-funded multilingual LLM Supports 22 Indian languages AI Data Labs Network Foundational AI training 570 labs nationwide AI Impact Summit 2026 Showcasing India’s AI leadership 300 exhibitors, 30+ countries, youth & women innovation challenges AI in Key Sectors (a) Healthcare Early diagnosis, telemedicine, image recognition. ICMR–IndiaAI–U.K.–Singapore collaborations ensure ethical standards. AI models in radiology, pathology, drug discovery. (b) Agriculture AI in crop forecasting, pest detection, irrigation scheduling. Kisan e-Mitra: AI chatbot linking farmers to schemes. National Pest Surveillance System integrates weather & satellite data. (c) Education & Skilling NEP 2020: AI introduced from Class VI–XII. YUVAi Programme: Students build AI solutions for local challenges. DIKSHA Platform: AI for accessibility (text-to-speech, keyword search). (d) Governance & Justice e-Courts Project Phase III: AI in translation, scheduling, and filing. AI Translation Committees translating judgments into regional languages. e-HCR, e-ILR: Digital legal access platforms. (e) Climate & Weather Forecasting IMD uses AI models for rainfall, fog, cyclone intensity. MausamGPT (upcoming) to provide real-time weather advice. Employment & Skilling Impact AI Talent Pool: Expected to double from 6.5 lakh (2025) → 12.5 lakh (2027). FutureSkills PRIME Programme: 18.56 lakh enrolled; 3.37 lakh certified. Focus on 10 frontier technologies including AI, Big Data, and IoT. AI creating new job categories in data science, robotics, analytics, and governance. NITI Aayog Report 2025 – AI for Inclusive Societal Development Vision: Empower 490 million informal workers through AI, IoT, Blockchain, and Robotics. Digital ShramSetu Mission: Frontier technologies for informal sector. Phased Implementation (2025–2035): Mission Orientation (2025–26) – Define goals and framework. Institutional Setup (2026–27) – Governance, regulation, partnerships. Pilot Programs (2027–29) – Sectoral implementation, M&E. Nationwide Rollout (2029–35) – Full-scale adoption and integration. Outcome: Inclusive, voice-first, multilingual, skill-amplifying digital ecosystem. Ethical and Governance Dimensions Safe & Trusted AI Framework: Focus on bias mitigation, explainability, privacy, and accountability. IndiaAI Safety Institute: Developing national AI governance standards. Global Cooperation: Participation in GPAI (Global Partnership on AI) and UNESCO AI Ethics Framework. Challenges Limited domestic chip manufacturing and AI compute capacity. Data fragmentation and lack of standardized datasets. Shortage of AI researchers and PhDs relative to the U.S./China. Need for AI ethics, regulatory clarity, and public trust. Risk of digital divide if access and affordability gaps persist. Way Forward Invest in indigenous GPUs and semiconductor fabs. Accelerate AI skilling in Tier-2/3 cities. Expand AI use in social sectors (health, agri, education). Create a National AI Regulatory Authority for ethical oversight. Integrate AI into Digital Public Infrastructure (DPI) frameworks — UPI, ONDC, and Ayushman Bharat Digital Mission. Encourage global South cooperation on ethical, multilingual AI. Conclusion India’s AI transformation blends computational power, inclusive design, and innovation to build a globally competitive yet socially equitable tech ecosystem. With initiatives like IndiaAI Mission, BharatGen, and Digital ShramSetu, India aims to achieve AI sovereignty and inclusive digital empowerment by Viksit Bharat 2047.