Overview
Green Revolution 2.0, Part 9
How geo-referenced inputs, farm-data systems, and nutrient-dense seeds reshape Indian agriculture.
Previous Year UPSC-CSE Questions By the end you will be able to draft model answers for the following UPSC questions. Each question carries a collapsible framework showing how to approach it in the exam.
- UPSC Prelims 2010Genetically modified Golden Rice has been engineered to meet human nutritional requirements. Which one of the following statements best qualifies Golden Rice?
How to approach this Prelims question
Approach: Apply the biofortification logic: Golden Rice was engineered for micronutrient delivery (vitamin A), NOT for yield enhancement or amino-acid profile. Option (a) inverts the design (Golden Rice is not a yield-enhancement variety). Option (b) correctly identifies the pro-vitamin A to vitamin A conversion pathway. Option (c) confuses biofortification with protein-quality engineering. Option (d) confuses vitamin A with vitamin D.
Trap to watch: Treating Golden Rice as a yield-enhancement variety; biofortification is specifically a micronutrient-delivery framework, not a calorie-security framework.
Key facts to recall:
- Golden Rice = pro-vitamin A (beta-carotene) biofortified rice.
- Pro-vitamin A converts to vitamin A in the human body upon ingestion.
- Target population: vitamin A deficiency in rice-staple regions.
- Developer: IRRI-led partnership; HarvestPlus CGIAR-coordinated framework.
Answer signal: Correct answer is (b) (pro-vitamin A converts to vitamin A in the human body).
- UPSC Prelims 2021Bollgard I and Bollgard II technologies are mentioned in the context of
How to approach this Prelims question
Approach: Bollgard is the trademark technology platform of Bt cotton (single-gene Bollgard I and dual-gene Bollgard II). Option (b) correctly identifies the GM-crop-development context. Options (a) clonal propagation, (c) plant growth substances, and (d) biofertilizers are unrelated technology platforms.
Trap to watch: Confusing Bollgard with conventional plant-breeding techniques like clonal propagation; Bollgard is specifically GM-technology not conventional breeding.
Key facts to recall:
- Bollgard I: single Bt gene; commercialised India 2002.
- Bollgard II: dual Bt gene; later commercialisation.
- Bt = Bacillus thuringiensis soil bacterium toxin against cotton bollworm.
- Regulator: GEAC under MoEFCC; international framework: Cartagena Protocol on Biosafety.
Answer signal: Correct answer is (b) (developing genetically modified crop plants).
- UPSC Prelims 2020Consider the following activities:
- Spraying pesticides on a crop field
- Inspecting the craters of active volcanoes
- Collecting breath samples from spouting whales for DNA analysis
At the present level of technology, which of the above activities can be successfully carried out by using drones?
How to approach this Prelims question
Approach: All three drone applications are technologically feasible at present. Agricultural pesticide spraying is now commercialised under DGCA Drone Rules 2021 with the Kisan Drone push. Volcano-crater inspection uses heat-resistant scientific drones. Whale-breath DNA sampling uses purpose-built marine-research drones flying over breaching whales.
Trap to watch: Doubting drone-feasibility for non-conventional applications like whale-breath sampling; the question tests current-technology breadth, not historical conventional uses only.
Key facts to recall:
- DGCA Drone Rules 2021 liberalised Indian drone operations including agricultural spraying.
- Kisan Drone push targets around 100,000 drones for rural deployment.
- Scientific drones cover volcano monitoring, wildlife research, infrastructure inspection.
- Drone Aadmi and Drone-Didi schemes under Ministry of Agriculture for rural drone-pilot training.
Answer signal: Correct answer is (d) (1, 2 and 3); all three drone applications are feasible at present technology.
Precision Agriculture in the Green Revolution 2.0 architecture is the geo-referenced farm-management framework that applies inputs (seed, fertiliser, water, pesticide) at variable rates calibrated to within-field spatial variability rather than at uniform per-hectare doses. The framework rests on four interlocking sub-architectures. The geo-spatial sub-architecture uses GIS and remote sensing (ISRO Bhuvan agriculture platform; Sentinel-2 European Space Agency satellite imagery; ICAR-NRSC partnership) for crop-area estimation, yield forecasting, and crop-stress detection. The sensor sub-architecture uses soil-moisture tensiometers, weather-station networks, and IoT-based field sensors to inform irrigation scheduling and pest-monitoring. The drone sub-architecture uses unmanned aerial vehicles under DGCA Drone Rules 2021 for crop-spraying, area-mapping, and yield assessment (UPSC Prelims 2020 on drone applications). The digital-platform sub-architecture uses the Digital Agriculture Mission and the AgriStack farmer-registry to integrate Aadhaar-linked farmer identity with land-record data and scheme-eligibility decisions. The Biofortified Crops framework augments the GR 1.0 calorie-security framing with micronutrient security through targeted breeding for pro-vitamin A, iron, and zinc enrichment. The international framework is HarvestPlus under the CGIAR network (cross-link to GR P8 CCAFS-CGIAR architecture). Biofortified varieties include Golden Rice (pro-vitamin A, an international IRRI-led release, UPSC Prelims 2010 anchor), the Dhanashakti pearl millet developed by ICRISAT with Mahatma Phule Krishi Vidyapeeth through conventional biofortification breeding with iron enrichment, and biofortified wheat varieties from IARI. The Biotechnology layer includes Bollgard I and II Bt cotton (UPSC Prelims 2021 anchor on GM crop development) and the regulatory architecture under the Cartagena Protocol via the GEAC framework.
Background and Historical Context
Indian agriculture's per-hectare input intensity is high relative to per-hectare output; the GR 1.0 calorie-security framing left a substantial micronutrient gap that biofortified crops can close at scale; and the farmer-information gap between weather-and-market signals and on-farm decisions costs Indian agriculture output that digital advisory can recover. The precision-digital-biofortified architecture is the technology flank of GR 2.0. UPSC Prelims has tested Golden Rice biofortification (UPSC Prelims 2010 on pro-vitamin A conversion in human body), Bt cotton genetic modification (UPSC Prelims 2021 on Bollgard I and II as GM-crop-development technologies), drone applications in agriculture and scientific work (UPSC Prelims 2020 on crop-spraying and volcano-inspection and whale-DNA-sampling all feasible at present technology), and multiple GM-crop and digital-agriculture questions across several papers.
What is the significance of the precision-digital-biofortified architecture? Three operational dimensions follow. The resource-efficiency dimension means precision application lowers per-unit input use without lowering yield; variable-rate fertiliser saves nitrogen (cross-link to GR P5 NPK imbalance), sensor-irrigation saves water (cross-link to Agri P8 PMKSY), and drone-spraying lowers pesticide load on the operator. The information-dimension means farmers gain access to satellite-based crop-stress maps, weather-based advisories, and market-price feeds through the AgriStack digital layer; the information asymmetry that historically benefited middlemen and large traders compresses as the platform expands. The nutritional-security dimension means biofortified crops deliver iron, zinc, and pro-vitamin A through the regular cereal-and-millet consumption pattern without requiring fortification supply-chains or dietary-shift campaigns; the operational reach of biofortification scales with the variety substitution itself.
Current threads include the Digital Agriculture Mission approved by the Union Cabinet in 2024 with AgriStack as the central farmer-registry platform, the India Digital Ecosystem of Agriculture (IDEA) framework that operationalises the AgriStack data architecture, the DGCA Drone Rules 2021 liberalising drone operations including agricultural spraying with the Kisan Drone push targeting around 100,000 drones for rural deployment, the Dhanashakti pearl millet from ICRISAT and Mahatma Phule Krishi Vidyapeeth as the lead biofortified millet hybrid widely promoted under the International Year of Millets 2023 (cross-link to GR P6 nutritional-security objective), and the NMSA Mission on Sustainable Agriculture integration of precision-input technology under the rainfed area development sub-mission. The cluster-architecture lesson is that GR 2.0 precision and digital and biofortified together replace the GR 1.0 uniform-input-package logic with a calibrated-and-information-rich logic; the substitution rewrites the productivity-equity-nutrition trade-off.
Precision, Digital, Biofortified: Three Technology Flanks of GR 2.0
Why precision and digital and biofortified converge
GR 2.0's technology flank operates through three converging sub-architectures that together replace the GR 1.0 uniform-input-package logic with a calibrated-and-information-rich logic. The precision-agriculture sub-architecture calibrates inputs to within-field variability rather than applying uniform doses. The digital-agriculture sub-architecture closes the farmer-information gap by integrating satellite, weather, sensor, and market signals into farm-level decision support. The biofortified-crops sub-architecture closes the GR 1.0 nutritional-security gap by breeding pro-vitamin A, iron, and zinc into the regular cereal and millet consumption pattern.
The three sub-architectures share two design features. The first is information substitution: the GR 1.0 uniform-package decision logic is replaced by data-rich, field-specific, crop-specific decisions. The second is per-unit efficiency: each input (water, nitrogen, pesticide, micronutrient) is delivered with higher per-unit efficacy through targeting rather than blanket application. The two features together rewrite the productivity-equity-nutrition trade-off that GR 1.0 left unresolved.
Precision Agriculture: GIS, Remote Sensing, Sensors, Drones
Geo-spatial and sensor and drone sub-architectures
Precision agriculture in the Indian context operates through four sub-architectures that calibrate inputs to within-field spatial variability. The first is the geo-spatial layer based on GIS and remote sensing. The second is the sensor layer based on soil-moisture tensiometers and IoT field sensors. The third is the drone layer under DGCA Drone Rules 2021. The fourth is the decision-support layer that integrates the three data streams into actionable farm advisory.
- Layer 1: GIS and Remote Sensing: ISRO Bhuvan agriculture platform provides crop-area estimation, yield forecasting, and crop-stress maps; ICAR-NRSC (National Remote Sensing Centre) Hyderabad partnership coordinates space-applications for agriculture; Sentinel-2 ESA satellite imagery widely used for vegetation indices.
- Layer 2: Sensor networks and IoT: Soil-moisture tensiometers trigger drip-irrigation valves at field-specific moisture thresholds; weather-station networks combine with crop-stage models for spray-timing advisories; IoT field sensors transmit data to cloud platforms via mobile networks.
- Layer 3: Drones under DGCA Drone Rules 2021: Crop-spraying drones (10 to 15 acres per hour spray capacity) operate under the liberalised 2021 rules framework; area-mapping and yield-assessment drones replace manual field-walks; Kisan Drone push targets around 100,000 drone deployments for rural use (UPSC Prelims 2020 on drone applications for spraying and scientific use).
- Layer 4: AI decision support: Satellite-derived NDVI plus weather-station data plus historical-yield models produce field-specific recommendations; AI yield forecasting informs procurement planning and crop-insurance disbursal under PMFBY (cross-link to GR P10).
- Cross-layer integration: The Digital Agriculture Mission (covered in section 4) provides the data-layer that binds the geo-spatial plus sensor plus drone plus AI decision support into a unified farmer-facing platform.
Biotechnology and Biofortified Crops
Biotechnology: Bt cotton Bollgard I and II
Indian agricultural biotechnology has had two regulatory-approved trajectories. The first is Bt cotton commercialised from 2002 onwards under the Bollgard I single-gene technology and the Bollgard II dual-gene technology (UPSC Prelims 2021 on Bollgard as GM-crop-development context). The Bt gene expresses the Bacillus thuringiensis toxin against the cotton-bollworm pest, sharply reducing pesticide-spray requirement.
The second is Bt brinjal, developed but not commercialised in India (moratorium maintained) and commercialised in Bangladesh from 2014. The regulatory architecture operates under the Genetic Engineering Appraisal Committee (GEAC) under the Ministry of Environment, Forest and Climate Change, with the Cartagena Protocol on Biosafety as the international framework. GM mustard (DMH-11) is the lead GM food-crop candidate under GEAC consideration; commercial-release approval remains under judicial review.
| Dimension | Genetically modified crops | Biofortified crops |
|---|---|---|
| Breeding route | Transgenic insertion of a foreign gene (Bt gene from Bacillus thuringiensis) | Conventional and marker-assisted breeding within the crop gene pool |
| Primary target | Pest resistance and herbicide tolerance (Bollgard Bt cotton against bollworm) | Micronutrient density: iron, zinc, and pro-vitamin A in the grain |
| Lead Indian example | Bt cotton (Bollgard I single-gene, Bollgard II dual-gene), commercialised 2002 | Dhanashakti pearl millet (iron and zinc); IARI biofortified wheat and rice |
| Regulatory pathway | GEAC approval mandatory under the Ministry of Environment, Forest and Climate Change | No GEAC approval; treated as a conventional variety release |
| Security axis addressed | Yield protection and input cost (pesticide load reduction) | Nutritional security through the regular cereal and millet consumption pattern |
Biofortification: Golden Rice, Dhanashakti, HarvestPlus
Biofortification breeds micronutrients (iron, zinc, pro-vitamin A) into the regular cereal and millet consumption pattern. The operational reach scales with the variety substitution itself: a farmer planting biofortified pearl millet delivers iron and zinc to the household-meal cycle without any change in cooking, processing, or dietary behaviour. The international framework is HarvestPlus coordinated under the CGIAR network (cross-link to GR P8 CCAFS-CGIAR institutional architecture).
- Golden Rice: Pro-vitamin A biofortified rice developed through the IRRI-led partnership; the grains contain pro-vitamin A (beta-carotene) which converts to vitamin A in the human body (UPSC Prelims 2010 anchor); targets vitamin A deficiency in rice-staple populations.
- Dhanashakti pearl millet: iron-biofortified pearl millet (bajra) variety developed at ICRISAT and Mahatma Phule Krishi Vidyapeeth through conventional biofortification breeding; widely promoted under International Year of Millets 2023 (cross-link to GR P6 nutritional-security objective).
- IARI biofortified wheat: Indian Agricultural Research Institute New Delhi releases of zinc-and-iron-biofortified wheat varieties; supplement the HarvestPlus programme nationally.
- IARI biofortified rice: IARI biofortified rice varieties for micronutrient delivery in rice-staple populations.
- HarvestPlus international portfolio: Orange-fleshed sweet potato (sub-Saharan vitamin A delivery), iron-rich beans (Rwanda and Democratic Republic of Congo), zinc-rich wheat (South Asia), iron-and-zinc-rich pearl millet (India); CGIAR-coordinated biofortification network.
Digital Agriculture Mission, AgriStack, Karnataka Millet Mission Case
DAM and AgriStack: the data-platform layer
The Digital Agriculture Mission (DAM) was approved by the Union Cabinet in 2024 as the central scheme that builds the data infrastructure for farmer-centric digital service delivery. The mission rests on the AgriStack platform that integrates Aadhaar-linked farmer identity with land-record data, crop-area declarations, soil-health-card data, and scheme-eligibility decisions. The platform operates under the India Digital Ecosystem of Agriculture (IDEA) framework that specifies the data-architecture principles (farmer-centric, federated, interoperable, consent-based).
- Farmer-registry layer: AgriStack assigns each Indian farmer a unique digital identity linked to Aadhaar and land-records; consent-based data sharing across schemes.
- Crop-and-soil data layer: Crop-area declarations, soil-health-card data, irrigation-source data integrated into the unified platform.
- Scheme-eligibility layer: PM-KISAN (direct income support), PMFBY (crop insurance), PMKSY (irrigation), Soil Health Card all draw eligibility decisions from the AgriStack data.
- Service-delivery layer: Weather advisory, market-price feeds, agromet bulletins, scheme-application status delivered to farmer mobile phones via the platform.
- API and interoperability layer: State agricultural departments, central schemes, private agri-services firms can interface with the AgriStack APIs under consent-based data sharing.
State-scale dryland digitisation: cluster cultivation, trade fair, advisory apps
The Karnataka Millet Mission under the state Department of Agriculture integrates digital tools with the millet-promotion programme as the embedded case for this part. The mission rests on three implementation pillars that combine cultivation expansion, value-chain linkage, and farmer-facing advisory.
- Cluster-based cultivation expansion: millet area extended across the dryland Peninsular tracts where millets are the traditional rainfed crop.
- Value-chain integration: the annual Organic and Millet Trade Fair in Bengaluru connects farmers, processors, and institutional buyers.
- Digital decision support: crop-advisory mobile platforms and the state agromet network guide variety selection, sowing-window advisory, and price-discovery.
The case matters because it shows that the precision-digital architecture can be deployed at state-scale around a single crop family with measurable outcomes on cultivated-area expansion, farmer-income improvement, and value-chain consolidation. The Karnataka model has been studied by other Peninsular states (Andhra Pradesh, Telangana, Tamil Nadu) for replication around the International Year of Millets 2023 momentum.
The cluster-architecture lesson is that the precision-digital-biofortified flank of GR 2.0 scales when it is combined with a crop-specific implementation focus rather than deployed as a generic technology layer detached from any single crop system.
Prelims MCQ practice
Each question below tests one specific concept on the topic. Click to reveal the answer and a full option-wise explanation.
Q1. Consider the following statements about Precision Agriculture in the Indian context:
- Precision Agriculture applies inputs at variable rates calibrated to within-field spatial variability rather than uniform per-hectare doses.
- Precision Agriculture relies on geo-referenced field-management with GIS and Remote Sensing inputs.
Which of the statements given above is/are correct?
- 1 only
- 2 only
- Both 1 and 2
- Neither 1 nor 2
Show answer and explanation
Answer: Both 1 and 2
Explanation.
Correct: c (Both 1 and 2). Statement 1 is correct: Precision Agriculture's central design principle is variable-rate input application calibrated to within-field spatial variability rather than uniform doses. Statement 2 is correct: GIS and Remote Sensing provide the geo-referenced data substrate (ISRO Bhuvan agriculture platform, Sentinel-2 ESA imagery, ICAR-NRSC partnership) for field-management decisions. Together the two statements describe the core architectural shift from GR 1.0 uniform-package logic to GR 2.0 calibrated-input logic.
Q2. With reference to the ISRO Bhuvan agriculture platform, consider the following statements:
- Bhuvan is the Indian Space Research Organisation web-based geo-platform offering satellite imagery and spatial information services.
- Bhuvan agriculture services include crop-area estimation, crop-stress monitoring, and yield forecasting through partnership with the ICAR network.
- Bhuvan satellite imagery is exclusively classified for defence use and is not available for civilian agricultural applications.
Which of the statements given above are correct?
- 1 and 2 only
- 2 and 3 only
- 1 and 3 only
- 1, 2 and 3
Show answer and explanation
Answer: 1 and 2 only
Explanation.
Correct: a (1 and 2 only). Statement 1 is correct: Bhuvan is the ISRO web-based geo-platform offering satellite imagery and spatial information services. Statement 2 is correct: Bhuvan agriculture services include crop-area estimation, crop-stress monitoring, and yield forecasting through the ICAR-NRSC partnership. Statement 3 is wrong: Bhuvan is a civilian platform with open access for agriculture, disaster management, urban planning, and other public-good applications; defence imagery operates through separate channels.
Q3. With reference to Golden Rice, consider the following statements:
- Golden Rice is genetically engineered to contain pro-vitamin A which converts to vitamin A in the human body.
- Golden Rice was developed primarily to increase per-hectare grain yield rather than to address micronutrient deficiency.
Which of the statements given above is/are correct?
- 1 only
- 2 only
- Both 1 and 2
- Neither 1 nor 2
Show answer and explanation
Answer: 1 only
Explanation.
Correct: a (1 only). Statement 1 is correct (per UPSC Prelims 2010): Golden Rice contains pro-vitamin A (beta-carotene) which converts to vitamin A in the human body; the cultivar is engineered to address vitamin A deficiency in rice-staple populations. Statement 2 is wrong: Golden Rice was developed specifically to address micronutrient deficiency (vitamin A), NOT to increase grain yield; yield enhancement is the GR 1.0 dwarf-HYV target, while biofortification operates on the micronutrient axis.
Q4. Consider the following statements about the Dhanashakti pearl millet variety:
- Dhanashakti is a biofortified open-pollinated pearl millet variety developed through conventional biofortification breeding for high iron content.
- Dhanashakti was widely promoted under the International Year of Millets 2023 as part of the nutritional-security transition.
- Dhanashakti is a genetically modified variety regulated under the Genetic Engineering Appraisal Committee (GEAC).
Which of the statements given above are correct?
- 1 and 2 only
- 2 and 3 only
- 1 and 3 only
- 1, 2 and 3
Show answer and explanation
Answer: 1 and 2 only
Explanation.
Correct: a (1 and 2 only). Statement 1 is correct: Dhanashakti is an iron-biofortified open-pollinated pearl millet variety developed at ICRISAT and Mahatma Phule Krishi Vidyapeeth through conventional biofortification breeding within the all-India coordinated pearl millet research network. Statement 2 is correct: Dhanashakti was widely promoted under the International Year of Millets 2023 declared by the United Nations on India's proposal. Statement 3 is wrong: Dhanashakti is a CONVENTIONALLY-BRED biofortified variety, NOT a genetically modified variety; biofortification through breeding does not require GEAC regulatory approval. GEAC regulates GM crops like Bt cotton and GM mustard.
Q5. With reference to Bollgard I and Bollgard II technologies, consider the following statements:
- Bollgard I and Bollgard II technologies are used for developing genetically modified crop plants.
- Bollgard technologies express the Bacillus thuringiensis toxin against the cotton-bollworm pest, reducing pesticide-spray requirement.
Which of the statements given above is/are correct?
- 1 only
- 2 only
- Both 1 and 2
- Neither 1 nor 2
Show answer and explanation
Answer: Both 1 and 2
Explanation.
Correct: c (Both 1 and 2). Statement 1 is correct (per UPSC Prelims 2021): Bollgard I and Bollgard II are technologies used for developing genetically modified crop plants, specifically Bt cotton commercialised in India from 2002 onwards. Statement 2 is correct: the Bt gene expresses the Bacillus thuringiensis toxin against the cotton-bollworm pest, sharply reducing pesticide-spray requirement. The Indian regulatory pathway operates under the Genetic Engineering Appraisal Committee (GEAC) under the Ministry of Environment, Forest and Climate Change.
Q6. Consider the following statements about the AgriStack and Digital Agriculture Mission (DAM):
- AgriStack is the Aadhaar-linked farmer-registry platform that integrates farmer identity with land-record data and scheme-eligibility decisions.
- The Digital Agriculture Mission was approved by the Union Cabinet in 2024 with AgriStack as the central data-platform layer.
- The India Digital Ecosystem of Agriculture (IDEA) framework specifies the data-architecture principles of farmer-centric, federated, interoperable, and consent-based data sharing.
Which of the statements given above are correct?
- 1 and 2 only
- 2 and 3 only
- 1 and 3 only
- 1, 2 and 3
Show answer and explanation
Answer: 1, 2 and 3
Explanation.
Correct: d (1, 2 and 3). Statement 1 is correct: AgriStack is the Aadhaar-linked farmer-registry platform integrating farmer identity with land-record data, crop-area declarations, soil-health-card data, and scheme-eligibility decisions for PM-KISAN, PMFBY, PMKSY, and Soil Health Card. Statement 2 is correct: the Digital Agriculture Mission was approved by the Union Cabinet in 2024 (outlay around Rs 2,817 crore) with AgriStack as the central digital public infrastructure. Statement 3 is correct: the IDEA (India Digital Ecosystem of Agriculture) framework specifies the data-architecture principles of farmer-centric, federated, interoperable, and consent-based data sharing.
Sources
- Class 12 India People and Economy, Chapter 5 (Land Resources and Agriculture)
- Indian Council of Agricultural Research (ICAR) institutional architecture
- Department of Agriculture and Farmers Welfare Digital Agriculture Mission and AgriStack
- Indian Space Research Organisation (ISRO) Bhuvan agriculture platform
- Golden Rice biofortification project: Wikipedia and HarvestPlus framework overview
- HarvestPlus biofortification programme institutional framing via CGIAR
- FAO biofortification framework documentation
- Press Information Bureau release on Digital Agriculture Mission and Kisan Drone push
- National Food Security Mission (NFSM) coarse-cereals component covering biofortified millet promotion
- Ministry of Statistics and Programme Implementation: Agricultural Statistics at a Glance
Disclaimer
This article covers the precision, digital, and biofortified technology flank of Green Revolution 2.0 for UPSC preparation. Scheme outlays, variety-release details, and platform-rollout figures are indicative and change over time. Aspirants should cross-check programme specifics against official ICAR and Ministry of Agriculture sources.
