đKnowledge Drop â 020:Shaping the Deep-Tech Revolution in Agriculture: WEFâs New Blueprint | Prelims MCQs & High Quality Mains Essay

Shaping the Deep-Tech Revolution in Agriculture: WEFâs New Blueprint
Highlights Today â PETAL 020
Posted on : 15 November 2025
đ± Thematic Focus:
GS3 â Agriculture | Deep-Tech | AI-Driven Farming
Intro Whisper
When the plough meets the pixel, agriculture becomes not just a tradition â but a transformation.
Key Highlights
1) WEFâs Landmark Deep-Tech Agriculture Report
The World Economic Forum (WEF), working with global industry and academia, has released âShaping the Deep-Tech Revolution in Agricultureâ, a major insights report that maps how emerging technologies can future-proof global farming systems.
2) Seven Deep-Tech Domains Identified
The report highlights seven breakthrough technologies that can dramatically reshape agriculture:
- Generative AI: Predictive models for pests, yield, labour, market trends.
- Computer Vision: Image-based disease detection, sorting, grading, real-time crop health monitoring.
- Edge IoT: Local data processing for irrigation, fertilisation, pest-control â even in low-connectivity zones.
- Satellite Remote Sensing: Soil moisture, crop stress, drought mapping, supply-chain risk alerts.
- Robotics & Drones: Automated planting, spraying, weeding, harvesting; precision operations; swarm robotics.
- CRISPR Gene Editing: Faster development of resilient, high-yield, low-emission crop varieties.
- Nanotechnology: Targeted nutrients/pesticides; high-efficiency micro-inputs; reduced agrochemical waste.
3) The Problem Statement
WEF warns of three accelerating threats:
- Rising rural-to-urban migration
- Intensifying climate extremes
- Severe soil & water degradation
Together, they endanger productivity, farmer incomes, and global food security.
4) Indian Case Studies Highlighted by WEF
India is featured prominently with breakthrough examples:
- CRISPR Rice by ICAR: Drought & salinity tolerant, lower emissions, higher yield.
- PMFBY Remote Sensing: Drones + satellite + mobile apps â faster, transparent crop-loss assessment.
- AI-Based Pest Surveillance: ML models predict infestation patterns enabling early intervention.
5) Global Initiative: AI4AI
The report is released under the WEFâs Artificial Intelligence for Agriculture Initiative (AI4AI), launched in 2021 to push emerging tech adoption for sustainable, inclusive agriculture.
6) Government of India Initiatives (Aligned With Deep-Tech)
India Digital Ecosystem of Agriculture (IDEA)
A federated farmersâ database enabling innovation by startups, agri-tech firms, and state agencies.
NeGP-A
Funding support for projects using AI, ML, drones, robotics, blockchain, and big data.
e-NAM
A unified digital market connecting 1,000+ mandis for transparent, efficient trading.
ICAR Mobile Apps
100+ apps offering farm advisories across crops, livestock, poultry, fisheries.
Soil Health Card Scheme
Customized nutrient recommendations based on field-level soil profiling.
Kisan e-Mitra
A voice-enabled AI chatbot for PM-Kisan-related queries.
National Pest Surveillance System
AI & ML models for climate-driven pest prediction.
Namo Drone Didi
Distribution & training of women-led drone operators for precision agriculture.
PMKSY
Drip irrigation + fertigation for precision nutrient delivery & efficient urea usage.
GS Paper Mapping
- GS3 â Agriculture: Precision farming, soil health, crop resilience.
- GS3 â Science & Tech: AI, Robotics, IoT, CRISPR, Nanotech.
- GS3 â Environment: Sustainable farming, climate adaptation.
- GS2 â Governance: Policy frameworks, Digital Agriculture Ecosystem.
Closing Thought
Agriculture cannot remain trapped between the monsoon and the market. When farmers hold devices as confidently as they hold seeds, a new revolution begins â one that grows food, data, and dignity together.
Target IAS-26: Daily MCQs :
đ Prelims Practice MCQs
Topic: IShaping the Deep-Tech Revolution in Agriculture (WEF)
MCQ 1 TYPE 1 â How Many Statements Are Correct?
Consider the following statements regarding the WEF report âShaping the Deep-Tech Revolution in Agricultureâ:
1)Generative AI, CRISPR, Robotics, Computer Vision, IoT, Remote Sensing, and Nanotechnology are identified as key deep-tech domains.
2)PMFBY already uses drones and satellite-based remote sensing for faster crop-damage assessment.
3)ICARâs CRISPR-engineered rice variety shows higher yield and tolerance to drought and salinity.
4)The report concludes that conventional farming methods alone will be enough to meet future global food demand sustainably.
How many of the above statements are correct?
A) Only two
B) Only three
C) All four
D) Only one
đ Didnât get it? Click here (âž) for the Correct Answer & Explanation.
đ© Correct Answer: B) Only three
đ§ Explanation:
1)â
True â All seven domains are explicitly mentioned.
2)â
True â PMFBY uses drone + satellite tech for assessment.
3)â
True â ICARâs CRISPR success is directly cited.
4)â False â The report says conventional methods alone are not sufficient.
MCQ 2 TYPE 2 â Two-Statement Type
Consider the following statements:
1)The AI4AI initiative promotes emerging technologies to make agriculture more inclusive and sustainable.
2)The WEF report discourages the use of nanotechnology due to ecological risks.
Which of the above statements is/are correct?
A) Only 1 is correct
B) Only 2 is correct
C) Both are correct
D) Neither is correct
đ Didnât get it? Click here (âž) for the Correct Answer & Explanation.
đ© Correct Answer: A) Only 1 is correct
đ§ Explanation:
1)â
True â AI4AI strengthens digital and deep-tech capacity in agriculture.
2)â False â Nanotechnology is promoted for precision input use, not discouraged.
MCQ 3 TYPE 3 â Code-Based Statement Selection
With reference to technology-driven agriculture initiatives in India, consider the following:
1)IDEA aims to build a federated farmersâ database enabling digital agriculture solutions.
2)e-NAM provides a unified national agricultural market through digital trading of agri-produce.
3)The Soil Health Card Scheme uses AI-enabled soil-analysis algorithms.
Which of the above statements are correct?
A) 1 and 2 only
B) 2 and 3 only
C) 1 and 3 only
D) 1, 2 and 3
đ Didnât get it? Click here (âž) for the Correct Answer & Explanation.
đ© Correct Answer: A) 1 and 2 only
đ§ Explanation:
1)â
True â IDEA is a federated architecture for digital agriculture.
2)â
True â e-NAM integrates APMC mandis digitally.
3)â False â Soil Health Cards rely on lab testing, not AI analysis.
MCQ 4 TYPE 4 â Direct Factual Question
Which deep-tech domain highlighted in the WEF report enables real-time on-farm data processing in low-connectivity rural areas?
A) Cloud Computing
B) Edge Internet of Things (IoT)
C) Blockchain
D) Quantum Sensors
đ Didnât get it? Click here (âž) for the Correct Answer & Explanation.
đ© Correct Answer: B) Edge Internet of Things (IoT)
đ§ Explanation:
Edge IoT devices process data locally, reducing dependence on internet connectivity.
MCQ 5 TYPE 5 â UPSC 2025 Linkage Reasoning Format (I, II, III)
Consider the following statements:
Statement I:
Deep-tech solutions are increasingly necessary as climate change and resource degradation accelerate faster than traditional farming can adapt.
Statement II:
CRISPR and nanotechnology improve resilience and reduce input waste, strengthening the sustainability of agricultural systems.
Statement III:
The WEF report discourages robotics because it may worsen rural unemployment.
Which one of the following is correct in respect of the above statements?
A) Both Statement II and Statement III are correct and both explain Statement I
B) Both Statement II and Statement III are correct but only one of them explains Statement I
C) Only one of the Statements II and III is correct and that explains Statement I
D) Neither Statement II nor Statement III is correct
đ Didnât get it? Click here (âž) for the Correct Answer & Explanation.
đ© Correct Answer: C
đ§ Explanation:
Statement II: â
True â Both CRISPR and nanotech enhance sustainability.
Statement III: â False â WEF supports robotics to address labour shortages.
Therefore, only Statement II explains Statement I.
High Quality Mains Essay For Practice : Essay-1
Word Limit 1000-1200
Shaping the Deep-Tech Revolution in Agriculture: The WEF Vision and Indiaâs Pathway to Future Farming
Agriculture today stands at a decisive threshold. As global food demand accelerates and climate stress deepens, conventional farming is proving insufficient to sustain the needs of a rapidly expanding population. Soil fatigue, water scarcity, rural migration, and erratic weather events have created vulnerabilities that can no longer be addressed through incremental improvements alone. It is in this context that the World Economic Forum (WEF) has released its landmark insights report, âShaping the Deep-Tech Revolution in Agriculture,â a blueprint that combines frontier technologies with systemic reforms to build a resilient and future-ready farming ecosystem. The report is not merely a technological catalogueâit is a strategic call to reimagine agriculture as a digitally empowered, data-driven, sustainable enterprise.
A New Era of Deep-Tech Agriculture
The WEF identifies seven core deep-tech domains that promise to reshape agriculture at its very foundations. These technologies are not stand-alone tools; they function as interconnected layers that enable precision, prediction, automation, and sustainability.
1. Generative AI (GenAI): Beyond Information to Intelligent Farming
Generative AI offers powerful predictive insightsâfrom pest outbreaks to yield fluctuations, labour needs, and market price behaviour. Language and vision models built on real-time and historical datasets can guide farmers on optimal sowing windows, fertilizer dosing, disease risks, and crop diversification strategies. Used at scale, GenAI can reduce uncertainties that have burdened farmers for decades.
2. Computer Vision: The Eyes of Modern Farming
High-resolution imaging and video analytics allow early detection of leaf discoloration, soil nutrient deficiencies, fruit defects, or water stress. Whether deployed through drones, smartphones, or automated grading lines, computer vision brings laboratory-like diagnosis directly into the field, saving precious time and enabling targeted action.
3. Edge IoT: The Brain Operating at the Farm Itself
Edge computing enables sensors, pumps, and irrigation units to make decisions locally, without relying on distant servers or strong internet bandwidth. This is critical for India, where many agricultural regions still face connectivity challenges. Edge IoT can autonomously regulate water flow, activate pest deterrent devices, or apply fertilizers precisely based on real-time soil metrics.
4. Satellite-Enabled Remote Sensing: The Birdâs-Eye Guardian
Satellite data provides an unmatched macro-viewâtracking moisture stress, drought probability, vegetation health, river basin flow, or cyclone impact. When combined with mobile apps and district dashboards, remote sensing transforms agricultural planning, crop monitoring, and disaster response.
5. Robotics, Drones, and Autonomous Systems: Labour and Precision Combined
With rural labour shortages worsening across the world, robotics emerges as a crucial solution. Autonomous tractors, robotic weeders, sunlight-guided harvesters, and swarm drones can perform repetitive and hazardous tasks with high accuracy. Drones, now increasingly used even by small and marginal farmers in India, ensure optimal spraying, mapping, and damage assessment.
6. CRISPR and Gene Editing: Breeding the Future
Traditional breeding cycles often take decades. CRISPR technology drastically shortens this timeline, enabling scientists to cultivate crops that are drought-tolerant, salinity-resistant, pest-resilient, and climate-adaptive. Indiaâs ICAR has already demonstrated success with CRISPR-based rice varieties offering higher yields and lower emissions.
7. Nanotechnology: Precision at the Molecular Level
Nano-fertilizers and nano-pesticides allow targeted delivery, minimize environmental runoff, and enhance nutrient uptake. This can reduce Indiaâs chronic overdependence on urea and excessive pesticide usage, both of which degrade soil and water bodies.
The Crisis Deepening Beneath the Soil
The WEF report highlights that the urgency for deep-tech transformation is not optionalâit is existential.
- Climate extremes are intensifying droughts, heatwaves, and unpredictable rainfall.
- Soil degradation is reaching alarming levels due to chemical overuse and monocropping.
- Water scarcity threatens irrigation coverage in several regions.
- Rural-to-urban migration is leaving farms without adequate labour.
- Global food inflation and supply chain disruptions are putting unprecedented pressure on small farmers.
These disruptions together form a systemic crisis. The report argues that no single policy or traditional technique can counter these challenges at the required scale. Only deep-techâworking across data, genetics, automation, and nano-solutionsâcan create resilient pathways for the future.
India as a Case Study in Deep-Tech Adoption
The report highlights India as a unique example because its agricultural challenges are vast, yet the country has rapidly built an enabling technological ecosystem.
ICARâs CRISPR Rice
A breakthrough innovation from ICAR has produced a rice variety tolerant to drought and salinityâcrucial for climate-threatened states like Odisha, Andhra Pradesh, and Tamil Nadu. The variety also has lower methane emissions, contributing to Indiaâs climate commitments.
PMFBY: Drone + Satellite + AI Integration
The Pradhan Mantri Fasal Bima Yojana now integrates drone footage, satellite data, and mobile-based crop-cutting experiments to ensure transparent and fast claim settlements, reducing delay-driven distress among farmers.
AI-Powered Pest Surveillance
The governmentâs National Pest Surveillance System uses machine learning to predict pest outbreaks, enabling early warnings and rapid action.
Kisan e-Mitra
This AI-powered voice assistant allows farmersâeven those who cannot read or writeâto receive guidance on PM-Kisan benefits, cropping advice, and subsidy procedures.
Government of Indiaâs Parallel Efforts
The WEF report aligns strongly with Indiaâs existing digital agriculture architecture.
- IDEA (India Digital Ecosystem of Agriculture): Unified farmersâ database enabling targeted advisories, credit access, insurance, and agri-startups.
- NeGP-A: Funding for state-led projects using AI, blockchain, ML, sensors, robotics, and drone technology.
- e-NAM: Indiaâs agricultural markets are now on a digital platform that allows remote bidding and price transparency.
- Soil Health Cards: Farmers receive individualized guidance to correct nutrient imbalances.
- Namo Drone Didi: A unique initiative empowering rural women to operate agricultural dronesâcombining technology with gender empowerment.
- PMKSY: Drip and fertigation systems ensure precise water and nutrient delivery.
Together, these initiatives create a strong national foundation for deep-tech integration at massive scale.
Why Deep-Tech Matters Now More Than Ever
The world is moving towards:
- Higher climate volatility
- Shrinking farmlands per capita
- Rising global food demand
- Increasing environmental degradation
Conventional farming cannot keep pace. Deep-tech toolsâpredictive analytics, autonomous machines, nano-fertilizers, CRISPR crop geneticsâoffer the only viable path to increased productivity with lower ecological footprints.
Deep-tech also addresses structural issues like rural labour shortages, inefficient input use, and lack of real-time information. It democratizes knowledge by making expert-level insights accessible to every farmer through apps, sensors, and voice assistants.
Conclusion: A Future Where Plough Meets Processor
The WEF report is not merely a technological roadmapâit is an agricultural philosophy for the 21st century. It envisions farms where decisions are data-informed, crops are climate-resilient, inputs are precision-targeted, and farmers are empowered by digital tools rather than constrained by uncertainties.
For India, the deep-tech revolution aligns with its broader goals of doubling farmer incomes, ensuring food security, and achieving climate sustainability. The convergence of global innovation and domestic digital initiatives has prepared India to lead a new farming movementâone driven by intelligence, inclusivity, and resilience.
The future of agriculture will not be built by abandoning the plough, but by giving it a companion: the processor. And when both work together, agriculture transforms from a vulnerable enterprise into a future-ready force capable of feeding the world.
High Quality Mains Essay For Practice : Essay-2 Literary Essay
Word Limit 1000-1200
Where Soil Meets the Circuit: A Meditation on Deep-Tech and the Indian Farmer
âThe plough is never merely a tool. It is a memory of the first human hope, cutting into the earth, asking it to dream with us.â
There was a time when the Indian farmer stood alone beneath an unpredictable sky, relying on intuition as old as the soil itself. Seasons arrived like guests who did not always keep their word. Rains faltered. Pests emerged without warning. A lifetime of labour could be undone by one whisper of wind or one sleepless night spent watching the clouds refuse to break. Agriculture, for centuries, was a dialogue between man and natureâtender, uncertain, often unequal.
But somewhere along this vast journey, a quiet revolution began. It did not start with slogans or manifestos, but with signals, sensors, satellite streaks, and encrypted whispers travelling through invisible networks. It began when the world realised that feeding the future would require more than tradition. It would require intelligenceânot just human intelligence, but intelligence that listens, learns, and evolves. It would require deep-tech.
The World Economic Forumâs report, âShaping the Deep-Tech Revolution in Agriculture,â reads almost like a prophecyâan announcement that the plough is about to meet its newest companion: the processor. And in this companionship lies the future of farming.
Imagine a field where the soil itself can speak. Sensors embedded in the earth track moisture like a living pulse, sending data to small devices perched under neem trees. Algorithms read the heartbeat of the land. Drones drift above like silent guardians, mapping disease, counting leaves, measuring stress with the precision of a surgeon. Satellites circle the planet, watching for drought, for floods, for shifting patterns of green and brown. And in a small home whose roof glimmers under the sun of Odisha, a farmer receives these signals through a mobile phoneânot in English, not in code, but in the comfort of his own language.
This is not science fiction. This is the present. And it is arriving faster than we imagined.
Deep-tech does not replace the farmer; it restores him. It gives him time. It gives him warning. It gives him a chance. In a world where rains betray and markets fluctuate, data becomes a shield. Robotics becomes a companion. CRISPR becomes a silent innovator in the background, strengthening seeds like an artisan strengthening clay. Nanotechnology brings precision to a world where wastage once seemed inevitable. Generative AI brings foresight to a profession once defined by uncertainty.
But technology alone cannot heal what has been wounded. Soil degradation, rural migration, shrinking water tablesâthese are not challenges that can be solved by microchips alone. What deep-tech does is more subtle, more profound. It builds resilience. It helps the farmer endure without surrendering his dignity. It brings predictability to fields that have known centuries of unpredictability. It makes agriculture not a gamble, but a craft.
India appears again and again in the WEF reportânot as an observer, but as a pioneer. CRISPR-based rice developed by ICAR, digital advisories powered by IDEA, PMFBY using satellites and drones for faster claim settlements, the rise of AI-powered pest surveillance, the voice-guided Kisan e-Mitra that speaks to farmers in a tone gentle enough to be trustedâthese are signs that India is not waiting for the future; India is shaping it.
Yet the real transformation lies in the heart of the farmer. For technology is not magic until someone believes in it. There is something almost poetic about watching a woman in Rajasthan, standing in an open field, commanding a drone under the Namo Drone Didi scheme. The dry wind moves her saree, the drone hums above like a futuristic bird, and in that moment the ancient and the modern co-exist without conflict. She is not replacing tradition; she is extending it.
And what is agriculture but extension? Extension of soil into nourishment, of effort into life, of tradition into time.
The deep-tech revolution does more than modernise agricultureâit spiritualises it. It allows the farmer to read the land with new senses. It allows science to serve humility. It allows innovation to meet intuition in the middle. For the plough may cut the soil, but technology now listens to it.
As climate change tightens its grip on the world, and as the earthâs wounds deepen, the old ways alone cannot carry us forward. Neither can technology alone. But togetherâdeep-tech and deep-rooted wisdomâsomething extraordinary becomes possible. Farming becomes not an act of survival, but an act of renewal.
There is a beautiful symmetry here. Agriculture began as the first technology of humankind. Today, it turns to the latest technologies to survive. The circle closes with dignity.
The future farm will not look like the past. But it will honour the same sentimentâthe desire to nurture life. The desire to protect the seed. The desire to harmonise with the earth rather than conquer it. Deep-tech is not a threat to this sentiment; it is its extension into a world that has grown more uncertain.
And if one day, a farmer stands in his field, looks at his crop, and feels the rare comfort of knowing that the land, the sky, the data, and the machines are finally on his sideâthat will be the moment the deep-tech revolution will have fulfilled its promise.
âWhen we listen to the earth with new tools, we do not lose our roots; we help them reach deeper.â
