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Subject: Science and Technology

  • Comprehensive Remote Sensing Observation on Crop Progress (CROP)

    Why in the News?

    The ISRO through its CROP remote sensing framework, has estimated that the total wheat production from eight major wheat-growing states will reach 122.724 million tonnes by March 31, 2025.

    About CROP:

    • CROP is a semi-automated and scalable framework developed by ISRO’s National Remote Sensing Centre (NRSC).
    • The primary goal of CROP is to provide a real-time view of the sowing, growth, and harvest progress of crops, especially wheat during the Rabi season.
    • CROP utilizes data from multi-source remote sensing satellites to monitor agricultural areas across India.
    • Technological Components of CROP:
      1. EOS-04 (RISAT-1A): Provides Synthetic Aperture Radar (SAR) data for crop monitoring, especially under varied weather conditions.
      2. EOS-06 (Oceansat-3): Offers optical remote sensing data for agricultural monitoring.
      3. Resourcesat-2A: Used for high-resolution optical imaging, focusing on agricultural areas for precise crop monitoring.

    Key Features of the Study:

    • The study used a combination of SAR and optical data to accurately assess crop progress during the 2024-25 Rabi season.
    • The wheat sown area, as of March 31, 2025, stands at 330.8 lakh hectares, which is in line with the figures reported by the Ministry of Agriculture and Farmers Welfare (324.38 lakh hectares as of February 4, 2025).
    • Wheat production in the eight major wheat-growing states is estimated to be 122.724 million tonnes by March 31, 2025, based on the data gathered through the remote sensing method.
    [UPSC 2019] For the measurement/estimation of which of the following are satellite images/remote sensing data used?

    1. Chlorophyll content in the vegetation of a specific location

    2. Greenhouse gas emissions from rice paddies of a specific location

    3. Land surface temperatures of a specific location

    Select the correct answer using the code given below.

    Options: (a) 1 only (b) 2 and 3 only (c) 3 only (d) 1, 2 and 3*

     

  • Science behind Uterine Transplants

    Why in the News?

    Uterine transplant surgery offers a groundbreaking solution for women with absolute uterine infertility, as seen in the recent birth of the first child in the U.K. born to a mother who received a donated uterus.

    About Uterine Transplants:

    • Uterine transplantation is a surgical procedure where a woman who lacks a functional uterus receives a donor uterus, enabling her to carry and give birth to a child.
    • The transplant is typically temporary, allowing for one or two pregnancies, after which the uterus is usually removed to avoid complications.
    • Donor Criteria:
      • Age: Between 30 to 50 years.
      • Health: Must be in good overall health, with a BMI under 30, and no history of diabetes, cancer (within 5 years), or STIs.
      • Exclusions: Women with HIV, Hepatitis B, Hepatitis C, or other complications.
    • The procedure requires gynecological transplant surgeons with specific training. A 6-month recovery period is needed before attempting pregnancy.

    Indian Scenario:

    • India’s first transplant was performed on May 18, 2017, at Galaxy Care Hospital in Pune. The recipient was a 26-year-old woman who received her mother’s uterus.
    • In October 2018, India’s first baby was born via Caesarean section, weighing 1.45 kg and healthy.
    • This success story reflects India’s growing capabilities in reproductive medicine, providing hope to women with uterine infertility, offering them an opportunity for biological motherhood.
    [UPSC 2020] In the context of recent advances in human reproductive technology, “Pronuclear Transfer” is used for:

    Options: (a) fertilization of egg in vitro by the donor sperm (b) genetic modification of sperm producing cells (c) development of stem cells into functional embryos (d) prevention of mitochondrial diseases in offspring

     

  • Coenzyme Q: A Vital Molecule for Energy Production

    Why in the News?

    A recent paper published in Nature by a team from the Chinese Academy of Sciences explored the genetic modification of rice plants to increase Coenzyme CoQ10 production.

    What are Coenzymes and CoQ?

    • Enzymes are biological catalysts made of proteins that speed up chemical reactions in living organisms without being consumed in the process.
    • Coenzymes are organic molecules that assist enzymes in catalyzing biochemical reactions, making cellular metabolism more efficient.
    • Coenzyme Q (CoQ) is a lipid-soluble antioxidant that helps stabilize cells under stress. It is crucial for cellular energy production.
    • CoQ exists in 10 forms (CoQ1 to CoQ10), all present in the respiratory chain within cells.

    Importance of CoQ9 and CoQ10

    • CoQ9: It is found in cereal crops (wheat, rice, oats, barley, etc.), bamboo, and flowering plants like cinnamon, avocado, and pepper. It is rich in daily foods, making it an accessible nutrient.
    • CoQ10: It is vital for mitochondrial energy production. Concentrated in high-energy organs like the heart. CoQ10 is crucial for health, especially in those with neurological issues or age-related deficiencies.
    • Health Benefits of CoQ10:
      • 2008: CoQ10 supplementation helped patients with neurological disorders, improving their health (Montini et al., Milan).
      • 2012: Infants with CoQ10 deficiency benefitted from ubiquinone analogues (Shamima Ahmed, London).
    • CoQ10-based supplements are now commonly prescribed by healthcare professionals.
    [UPSC 2007] Question: Which one of the following is not a digestive enzyme in the human system?

    Options: (a) Trypsin (b) Gastrin* (c) Pepsin (d) Amylase

     

  • 50 years since the launch of Aryabhata 

    Why in the News?

    50 years ago on April 19, 1975, India marked a major milestone in its space history with the successful launch of Aryabhata, its first satellite.

    About Aryabhata

    • Aryabhata, India’s first satellite, was launched on April 19, 1975, with Soviet assistance from the Kapustin Yar Cosmodrome.
    • Named after the ancient Indian mathematician and astronomer Aryabhata, the satellite was a significant milestone in India’s space journey.
    • It had a unique 26-sided polyhedron design, measuring 1.4 meters in diameter and weighing 360 kg.
    • The satellite’s faces were covered with solar panels, except for the top and bottom.
    • Aryabhata orbited the Earth every 96.3 minutes with an inclination of 50.7 degrees, and its apogee and perigee were 619 km and 563 km, respectively.
    • Its mission was to conduct experiments in solar physics and X-ray astronomy.
    • Despite experiencing a power failure after 5 days, Aryabhata continued transmitting data for several more days, completing a remarkable 17 years in orbit.
    • This success was pivotal for India, establishing the country’s space capabilities.

    Inception of India’s Space Program:

    • India’s space program began in the 1960s, led by Vikram Sarabhai, the founder of ISRO.
    • Sarabhai envisioned a space program to advance technological and scientific progress in India.
    • Initial efforts included developing sounding rockets under the Rohini rocket program for atmospheric research.
    • In 1972, India partnered with the Soviet Union for the launch of Aryabhata, marking the nation’s entry into space.

     

    [UPSC 2007] Consider the following statements:

    1. In the year 2006, India successfully tested a full-fledged cryogenic stage in rocketry.

    2. After USA, Russia and China, India is the only country to have acquired the capability for use of cryogenic stage in rocketry.

    Which of the statements given above is/are correct?

    (a) 1 only * (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2

     

  • Recycling Perovskite Solar Cells

    Why in the News?

    Recent advancements in recycling perovskite solar cells have led to a new water-based solution, offering a more sustainable and efficient approach to solar energy production.

    About Perovskite Solar Cells:

    • Perovskite solar cells are made using a perovskite crystal structure, offering high power conversion efficiencies and low manufacturing costs compared to traditional silicon-based panels.
    • They are lightweight, flexible, and made from inexpensive materials, making them a promising alternative in the solar energy market.
    • While efficient, they have a shorter lifespan and contain toxic materials like lead, posing environmental risks during disposal.
    • Used in solar power generation, electric vehicles, and energy storage systems due to their affordability and performance.

    The New Recycling Method:

    • Researchers have developed a water-based recycling solution, replacing harmful organic solvents with a non-toxic approach.
    • The process uses three salts: sodium acetate, sodium iodide, and hypophosphorous acid, to dissolve and regenerate perovskite crystals, recovering high-quality material for reuse.
    • This method maintains nearly the same efficiency as fresh materials, even after five rounds of recycling, recovering 99% of the layers.
    • It promotes a circular economy, reducing waste and supporting the environmentally friendly recycling of perovskite solar cells.
    [UPSC 2014] With reference to technologies for solar power production, consider the following statements:

    1. ‘Photovoltaics’ is a technology that generates electricity by direction conversion of light into electricity, while ‘Solar Thermal’ is a technology that utilizes the Sun’s rays to generate heat which is further used in electricity generation process.

    2. Photovoltaics generate Alternating Current (AC), while solar Thermal generates Direct Current (DC).

    3. India has manufacturing base for Solar Thermal technology, but not for Photovoltaics.

    Which of the statement(s) given above is/are correct?

    Options:

    (a) 1 only* (b) 2 and 3 only (c) 1, 2 and 3 (d) None

     

  • A closer look at strategic affairs and the AI factor

    Why in the News?

    Concerns about an AI arms race and AGI are rising, but research on AI’s impact on strategic affairs remains limited.

    What are the key strategic differences between AI and nuclear weapons?

    Strategic Difference Artificial Intelligence (AI) Nuclear Weapons
    Development and Control Driven by private companies and research institutions (Eg: OpenAI) Developed and strictly controlled by state actors
    Resource Dependence No ongoing physical resources needed once trained Depend on rare materials like enriched uranium, requiring secure control
    Global Accessibility Rapidly accessible and globally developable (Eg: AI in healthcare) Restricted to a few nations with production and maintenance capacity

    How should these affect policy?

    • Focus on Global Tech Governance: Policies should emphasize international collaboration on AI standards and ethics, not just state-centric treaties. Eg: The OECD AI Principles guide responsible AI use across countries and private entities.
    • Regulate Private Sector Innovation: Governments must work closely with tech firms to monitor and regulate AI development. Eg: The EU AI Act places obligations on companies deploying high-risk AI systems.
    • Invest in Civilian and Dual-Use Oversight: Policies should ensure AI developed for civilian use isn’t misused for harmful purposes. Eg: Export controls on advanced AI chips to prevent their misuse by authoritarian regimes.

    Why is the comparison between Mutual Assured Destruction (MAD) and Mutual Assured AI Malfunction (MAIM) flawed?

    • Different Nature of Threats: MAD is based on physical destruction through nuclear weapons, while MAIM assumes AI failure or sabotage, which is less predictable and harder to control. Eg: A nuclear missile has a clear origin and impact but an AI malfunction could be decentralized and ambiguous.
    • Diffuse Infrastructure: Nuclear programs are centralized and state-controlled, but AI development is global, decentralized, and often driven by private entities. Eg: Open-source AI models can be developed by individuals or startups across countries, unlike nuclear weapons.
    • Unreliable Deterrence Mechanism: MAD relies on guaranteed retaliation; AI malfunction is not guaranteed nor clearly attributable, making deterrence weak. Eg: It’s hard to prove who caused an AI collapse, unlike a nuclear strike which can be traced.

    What are its policy implications?

    • Risk of Escalation: Using MAIM as a deterrence may justify preemptive strikes or sabotage, increasing chances of conflict. Eg: States might attack suspected AI labs without solid proof, causing diplomatic or military escalation.
    • False Sense of Security: Assuming AI deterrence works like nuclear deterrence may lead to complacency in governance and oversight. Eg: Policymakers might underinvest in AI safety, believing threat of malfunction is enough to prevent misuse.
    • Lack of Accountability: Diffuse AI development makes retaliation or regulation difficult, weakening the policy’s enforceability. Eg: If a rogue actor causes an AI incident, it’s hard to trace or penalize, unlike state-driven nuclear attacks.

    How feasible is controlling AI chip distribution like nuclear materials?

    • Different Resource Requirements: Unlike nuclear tech, AI doesn’t need rare or radioactive materials, making chip controls less effective. Eg: Once AI models are trained, they can run on widely available hardware like GPUs.
    • Widespread Availability: AI chips are mass-produced and used in consumer electronics globally, making strict regulation difficult. Eg: Chips used for gaming or smartphones can also power AI applications.
    • Black Market and Bypass Risks: Efforts to restrict chip distribution may lead to smuggling or development of alternative supply chains. Eg: Countries barred from chip exports may create domestic chip industries or resort to illegal imports.

    What assumptions about AI-powered bioweapons and cyberattacks are speculative, and why? 

    • Inevitability of AI-powered attacks: It’s assumed AI will inevitably be used to develop bioweapons or launch cyberattacks, but such outcomes aren’t guaranteed. Eg: While AI can assist in simulations, creating bioweapons still requires complex biological expertise.
    • State-driven development dominance: The assumption that states will lead AI weaponization ignores the current dominance of private tech firms. Eg: Companies like OpenAI or Google, not governments, are at the forefront of AI research.
    • Equating AI with WMDs: Treating AI as a weapon of mass destruction assumes similar scale and impact, which is yet unproven. Eg: Cyberattacks can cause disruption, but rarely match the immediate devastation of a nuclear blast.

    Why is more scholarship needed on AI in strategic affairs? 

    • Lack of tailored strategic frameworks: Current strategies often rely on outdated comparisons like nuclear weapons, which don’t suit AI’s complexity. Eg: Using MAD to model AI deterrence ignores AI’s decentralized development and dual-use nature.
    • Unclear trajectory of AI capabilities: Without deeper research, it’s difficult to predict how AI might evolve or impact global security. Eg: The potential of superintelligent AI remains hypothetical, needing scenario-based academic exploration.
    • Policy gaps and ethical dilemmas: Scholarly input is crucial to guide regulation and international norms around AI use. Eg: Without academic insight, actions like preemptive strikes on AI labs could escalate conflicts unjustly.

    Way forward: 

    • Establish Multilateral AI Governance Frameworks: Nations should collaborate with international organizations, academia, and private stakeholders to create adaptive, inclusive, and enforceable AI governance structures. Eg: A global AI treaty modeled on the Paris Climate Accord can align safety, ethics, and innovation priorities.
    • Promote Interdisciplinary Strategic Research: Invest in dedicated research centers combining expertise from technology, security studies, ethics, and international law to anticipate and mitigate AI-related risks. Eg: Establishing think tanks like the “AI and National Security Institute” to inform real-time policy with evidence-based analysis.

    Mains PYQ:

    [UPSC 2015] Considering the threats cyberspace poses to the country, India needs a “Digital Armed Force” to prevent crimes. Critically evaluate the National Cyber Security Policy, 2013, outlining the challenges perceived in its effective implementation.

    Linkage: The strategic importance of cybersecurity and the need for a digital defence force, which would involve AI capabilities. This article will talk about the strategic significance of AI.

  • How can V2G Technology help India’s Power Sector?

    Why in the News?

    Kerala State Electricity Board (KSEB) has partnered with IIT Bombay to launch a pilot project on Vehicle-to-Grid (V2G) technology, integrating electric vehicles into the power grid.

    About V2G Technology:

    • V2G enables Electric Vehicles (EVs) to send power back to the grid when not in use, turning EV batteries into decentralized energy storage devices.
    • It involves two key functions:
    1. Grid-to-Vehicle (G2V): Power is transferred from the grid to charge the EV.
    2. Vehicle-to-Grid (V2G): Power is sent from the EV back to the grid, making the vehicle a distributed energy source.
    • Smart charging strategies optimize charging based on grid demand and renewable energy availability, enhancing grid stability and enabling renewable energy integration.

    About the KSEB-IIT Bombay V2G Pilot Project:

    • This pilot aims to assess EVs’ role in supporting the power grid, especially during peak demand periods when solar energy is unavailable.
    • Kerala’s growth in EV adoption and rooftop solar installations has raised concerns about increased electricity demand, particularly in the evenings.
    • The project will explore the feasibility of using EVs to reduce grid strain and optimize the use of renewable energy.

    Applications of V2G:

    • Grid Support: EVs can supply power back to the grid during high-demand periods, improving grid stability.
    • Solar Energy Integration: V2G encourages charging during the day when solar power is abundant, and storing excess energy to supply the grid at night.
    • Emergency Power Source: EVs can act as backup power during crises or natural disasters, providing electricity to communities.
    [UPSC 2024] Which one of the following is the exhaust pipe emission from Fuel Cell Electric Vehicles powered by hydrogen?

    (a) Hydrogen peroxide (b) Hydronium (c) Oxygen (d) Water vapour *

     

  • JSWT finds Strongest Evidence of Life

    Why in the News?

    Scientists using the James Webb Space Telescope (JWST) have found signs of possible life on exoplanet K2-18 b by detecting gases usually produced by Earth’s biological processes.

    jswt

    Key findings of the Recent Study:

    • Scientists detected significant biosignatures in the atmosphere of K2-18 b, including dimethyl sulphide (DMS) and dimethyl disulfide (DMDS).
    • These gases, on Earth, are primarily produced by marine phytoplankton.
    • High concentrations of these gases suggest the possibility of microbial life, particularly in the planet’s oceans.
    • However, researchers caution that this is not definitive proof of life but a potential biosignature indicating biological processes.
    • Further studies and observations are needed to confirm whether these gases are biologically produced or the result of other processes.

    About James Webb Space Telescope (JWST):

    • JWST is a joint venture between NASA, the European Space Agency (ESA) and the Canadian Space Agency (CSA) launched in December 2021.
    • It is an orbiting infrared observatory that will complement and extend the discoveries of the Hubble Space Telescope, with longer wavelength coverage and greatly improved sensitivity.
    • Webb was formerly known as the “Next Generation Space Telescope” (NGST), and it was renamed in 2002 after a former NASA administrator, James Webb.
    • It isa large infrared telescope with an approximately 6.5-meter primary mirror.
    • JWST is positioned at the Earth-Sun L2 Lagrange point, 5 million km away.
    • It consists of a mirror, spanning 6.5 meters in diameter compared to Hubble’s 2.4 meters, and its specialised instruments optimised for infrared observations.
    • Key Objectives:
      • JWST observes deeper into the universe than Hubble.
      • Observes celestial objects from earlier epochs.
      • Enables the detection of light from the universe’s earliest stars, dating back over 13.5 billion years.
    [UPSC 2020] The experiment will employ a trio of spacecraft flying in formation in the shape of an equilateral triangle that has sides one million kilometres long, with lasers shining between the craft.” The experiment in question refers to:

    Options: (a) Voyager-2 (b) New Horizons (c) LISA Pathfinder (d) Evolved LISA*

     

  • India’s first-ever Seed Germination Database

    Why in the News?

    On April 16, 2025, the Ecological Restoration Alliance-India (ERA-I) has released a first-of-its-kind seed germination database aimed at enhancing the success of growing native plants for ecological restoration.

    About the Seed Germination Database:

    • It was launched by the Ecological Restoration Alliance-India (ERA-I).  ERA was formed in July 2021, as an informal collective between practitioners, ecologists and individuals.
    • ERA-I collaborated with organizations like Auroville Botanical Gardens, NCF, and Wildlife Trust of India.
    • It features over 1,000 germination techniques for 465 native plant species found across India.
    • It aims to help restoration practitioners, nursery managers, and native plant enthusiasts improve success rates in growing plants for ecological restoration.
    • It is a free-access database and offers valuable information on germinating native plants crucial for restoration projects.
    • Native Plants Included:
      • The database features a diverse array of native plant species. These species are key to restoring balance in degraded ecosystems.
      • They are – Aegle marmelos (Wood apple), Bauhinia racemosa (Beedi leaf tree), Ficus benghalensis (Banyan), Withania somnifera (Ashwagandha), Ziziphus mauritiana (Indian jujube), Knema attenuata (Wild nutmeg), Lawsonia inermis (Henna), Madhuca longifolia (Mahua), Vachellia nilotica (Babool).

    Significance:

    • Native plants are essential for creating climate-resilient ecosystems.
    • Such database plays a vital role in ecological restoration.
    • It provides 1,000+ techniques for growing native plants, enhancing the success of restoration projects.
    • The database supports India’s Bonn Challenge commitment to restore 26 million hectares of degraded land by 2030.
    [UPSC 2016] In the context of food and nutritional security of India, enhancing the ‘Seed Replacement Rates’ of various crops helps in achieving the food production targets of the future. But what is/are the constraint/constraints in its wider/greater implementation?

    1. There is no National Seeds Policy in place.

    2. There is no participation of private sector seed companies in the supply of quality seeds of vegetables and planting materials of horticultural crops.

    3. There is a demand-supply gap regarding quality seeds in case of low value and high volume crops. Select the correct answer using the code given below:

    Options: (a) 1 and 2 only (b) 3 only * (c) 2 and 3 only (d) None of the above

     

  • What is Tensor Processing Unit (TPU)?

    Why in the News?

    Recently Google introduced its seventh-generation TPU (Tensor Processing Unit), named Ironwood.

    About Ironwood

    • Ironwood is Google’s seventh-generation Tensor Processing Unit (TPU), designed to accelerate AI model training and inference with improved performance and efficiency.
    • It builds on previous TPUs, enhancing speed and efficiency for AI workloads.
    • It has been optimized for complex AI tasks, especially those requiring high-speed data processing for neural networks and deep learning models.
    • Initially used internally, Ironwood is now available via Google Cloud Platform, allowing businesses to harness its power without investing in dedicated hardware.

    What is a TPU?

    • A TPU is a specialized processor developed by Google to accelerate machine learning tasks, particularly those involving TensorFlow.
    • TPUs are optimized for tensor operations, crucial for training deep learning models, enabling faster data processing and high efficiency.

    How is TPU Different from GPU and CPU?

    CPU GPU TPU
    What is it? Central Processing Unit – General-purpose processor for various computing tasks. Graphics Processing Unit – Specialized for parallel processing, initially for graphics rendering. Tensor Processing Unit – Specialized processor designed by Google for accelerating machine learning tasks, particularly for AI and deep learning.
    Specialization General-purpose tasks (sequential processing) Parallel processing (graphics, machine learning) Specialized for AI tasks (tensor computations)
    Performance Slower for AI tasks due to sequential processing Faster than CPU for parallel tasks Fastest for AI tasks like matrix multiplication
    Efficiency Versatile but less efficient for AI operations Energy-efficient for parallel tasks Highly energy-efficient for machine learning
    Best for Running applications, managing systems Graphics rendering, machine learning Deep learning, neural network training

     

    [UPSC 2020] With the present state of development, Artificial Intelligence can effectively do which of the following?

    (1) Bring down electricity consumption in industrial units (2) Create meaningful short stories and songs (3) Disease diagnosis (4) Text-to-Speech Conversion (5) Wireless transmission of electrical energy

    Select the correct answer using the code given below:

    Options: (a) 1, 2, 3 and 5 only (b) 1, 3 and 4 only (c) 2, 4 and 5 only (d) 1, 2, 3, 4 and 5