PMFBY Reforms 2025: Decoding YES-Tech, WINDS & India's Agri-Insurance Future | UPSC Analysis

The Pradhan Mantri Fasal Bima Yojana (PMFBY) stands as the Government of India’s cornerstone policy intervention in the agricultural risk management landscape. Launched in the Kharif season of 2016, it represents a paradigm shift from previous area-based yield insurance schemes towards a more comprehensive, technology-driven, and farmer-centric model. In an era defined by escalating climate change impacts—manifesting as erratic monsoons, prolonged droughts, flash floods, and an increased frequency of cyclonic storms—the scheme’s relevance has never been more pronounced. It aims to buffer the Indian farmer, a majority of whom are small and marginal, from the devastating financial shocks of crop failure, thereby stabilizing farm incomes, promoting the adoption of modern agricultural practices, and ensuring national food security.

The scheme’s architecture was designed to overcome the limitations of its predecessors, such as the National Agricultural Insurance Scheme (NAIS) and the Modified National Agricultural Insurance Scheme (MNAIS), by offering a broader range of risk coverage at a significantly lower and uniform premium for farmers. However, the initial years of PMFBY were fraught with challenges, including delays in claim settlement, disputes over yield assessment, and a perception of high profitability for private insurance companies. In response to this feedback from farmers, state governments, and other stakeholders, the government has initiated a series of transformative reforms, particularly since 2020 and accelerating into 2023-2024. These reforms, collectively termed PMFBY 2.0, pivot on the large-scale infusion of technology to enhance transparency, accuracy, and efficiency. The introduction of sophisticated frameworks like the Yield Estimation System based on Technology (YES-Tech) and the Weather Information Network and Data System (WINDS) marks a determined effort to build a more robust and responsive agricultural safety net for the world’s second-most populous nation. This article provides a comprehensive analysis of PMFBY, its operational mechanics, the profound impact of its recent technological reforms, persistent challenges, and its overarching significance for the UPSC Civil Services Examination.

Fun Fact: Since its inception in 2016, PMFBY has provided coverage for over 500 million farmer applications, disbursing claims worth over ₹1,50,000 crore (as of late 2023), making it the largest crop insurance scheme in the world by farmer participation and the third largest in terms of premium collected.

Evolution from Previous Schemes: A Historical Perspective

Understanding PMFBY requires acknowledging the evolutionary path of crop insurance in India. The journey began with individual-based schemes in the 1970s, which were not scalable due to the immense administrative challenges of assessing individual farm losses, a problem known as moral hazard and adverse selection. The first major nationwide program was the Comprehensive Crop Insurance Scheme (CCIS) launched in 1985, which introduced the ‘Homogenous Area Approach’.

1. National Agricultural Insurance Scheme (NAIS): Introduced in 1999 to replace CCIS, NAIS operated on an ‘Area Approach’, where a ‘notified area’ (like a block or taluk) was the unit of insurance. All farmers in the area were deemed to have suffered the same percentage of loss. It covered food crops, oilseeds, and annual horticultural/commercial crops. Premiums were low but varied by crop. A key limitation was its financial unsustainability; the claim-to-premium ratio was often exceedingly high, placing a massive burden on the government. Furthermore, it suffered from significant basis risk—the risk that a farmer experiences a loss but does not receive compensation because the average yield in the larger notified area does not fall below the trigger level.

2. Modified National Agricultural Insurance Scheme (MNAIS): Launched as a pilot in 2010, MNAIS was a significant technical upgrade. It moved towards a more actuarial premium regime, where premiums were calculated based on risk profiles, with subsidies on premiums varying based on the farmer’s size. It introduced post-harvest loss assessment for the first time and allowed for localized risk coverage (like hailstorms) on an individual farm basis. However, its complexity, higher premium rates for farmers, and the administrative burden of individual assessments for localized calamities limited its appeal and scalability.

3. Weather Based Crop Insurance Scheme (WBCIS): Running parallel to MNAIS, WBCIS used weather parameters (like rainfall deviation, temperature, wind speed) as proxies for crop yield in assessing losses. Payouts were triggered when these parameters breached predefined thresholds at a reference weather station. This model allowed for faster, more objective, and transparent claim settlement, as it eliminated the need for cumbersome Crop Cutting Experiments (CCEs). Its primary drawback was an even higher basis risk. A farmer’s field could be devastated by a pest attack or a localized flood, but if the weather parameters at the distant reference station remained within the normal range, no payout would be made.

PMFBY was conceived to amalgamate the best features of these schemes—the area approach of NAIS, the localized calamity provision of MNAIS, and the technological potential of WBCIS—while addressing their core shortcomings. It expanded the scope of coverage, simplified the premium structure dramatically for farmers, and, most importantly, committed to leveraging technology to reduce basis risk and expedite claim settlements.

Core Objectives and Key Features of PMFBY

The scheme’s primary goal is to provide a comprehensive insurance cover against the failure of the crop, thus helping to stabilize the income of the farmers. Its stated objectives are:

• To provide financial support to farmers suffering crop loss or damage arising out of unforeseen events.
• To stabilize the income of farmers to ensure their continuance in farming.
• To encourage farmers to adopt innovative and modern agricultural practices by mitigating the risk involved.
• To ensure the flow of credit to the agriculture sector by protecting farmers from loan defaults and subsequent exclusion from formal credit systems.

Key Features of the Scheme

Comprehensive Risk Coverage: A Multi-Stage Safety Net

PMFBY provides an end-to-end insurance cover for the entire cropping cycle, a significant improvement over its predecessors. The risks covered can be categorized into four stages:

1. Prevented Sowing/Planting Risk: If a majority of insured farmers in a notified area are unable to sow or plant due to adverse weather conditions like a deficient monsoon or adverse seasonal conditions, they are eligible for a claim payout of up to 25% of the sum insured.
2. Standing Crop (Sowing to Harvesting) Risk: This is the core coverage for yield losses due to non-preventable risks, such as drought, dry spells, floods, inundation, widespread pest and disease attacks, landslides, natural fire, and lightning. Claims are calculated on an area-yield basis.
3. Post-Harvest Losses: Coverage is available for up to a maximum period of two weeks (14 days) from harvesting for crops that are required to be kept in a “cut and spread” condition to dry in the field. This protects against specific perils like cyclonic rains, unseasonal rains, and hailstorms. This is assessed on an individual farm basis.
4. Localized Calamities: Loss or damage resulting from the occurrence of identified localized risks like hailstorms, landslides, and inundation affecting isolated farms in the notified area. This is also assessed on an individual farm basis, a crucial feature retained from MNAIS.

Mnemonic for Risk Coverage: To remember the four stages of risk coverage, think of the farmer’s journey: “Preparing Soil, Seeing it Grow, Protecting the Harvest, and Local Calamities.” (Prevented Sowing, Standing Crop, Post-Harvest, Localized Calamities).

PMFBY 2.0: The Revamped Scheme (Post-2020 Reforms)

Despite its ambitious design, the initial implementation of PMFBY faced significant hurdles. States like Bihar, Punjab, and West Bengal exited the scheme, citing the high cost of premiums and disagreements with insurance companies. Farmers protested against delayed payments. In response, the central government introduced “PMFBY 2.0” in 2020, a series of reforms aimed at addressing these structural issues.

1. Made Voluntary for All Farmers: This was the most significant change. Previously, all farmers availing institutional credit (e.g., Kisan Credit Card - KCC) were mandatorily enrolled. This was criticized as coercive. The reform made the scheme completely voluntary, giving farmers the choice to opt-in based on their risk perception. While this respects farmer autonomy, it has led to a decline in enrollment, particularly in less risky areas, raising concerns about adverse selection (only high-risk farmers enrolling, driving up premiums).
2. Capping of Central Subsidy: To limit the escalating financial burden, the Centre capped its premium subsidy share at 30% for unirrigated areas/crops and 25% for irrigated areas/crops. States and UTs are free to extend the scheme with these caps, but if they opt for higher actuarial premium rates, they must bear the additional subsidy cost. This has been a point of friction with states in high-risk, rainfed regions.
3. Increased Flexibility to States: States were given the flexibility to select any number of additional risk covers/features, such as prevented sowing for specific perils or post-harvest losses for other crops. This allows for greater customization to local agro-climatic conditions.
4. Penalties for Delay: The revamped guidelines mandate that insurance companies must pay 12% interest to farmers for delays in settlement of claims beyond the stipulated timeline. Similarly, states are penalized for delays in releasing their share of the subsidy.

Analogy: Think of PMFBY 2.0 as shifting from a “one-size-fits-all” national health insurance to a more flexible system. Initially, everyone with a company job (loanee farmer) was forced to enroll. Now, it’s an optional plan (voluntary), and your local government (state) can add extra benefits (flexible risk covers), but the central provider (central government) has put a limit on how much it will co-pay for the most expensive plans (premium subsidy cap).

The Technological Revolution: YES-Tech and WINDS (2023-24 Onwards)

The most profound and recent transformation in PMFBY is the aggressive integration of technology to solve the scheme’s most persistent problems: inaccurate yield estimation and delayed claim processing. The reforms introduced in 2023 and being implemented now are game-changers.

Yield Estimation System based on Technology (YES-Tech)

YES-Tech is a technology-driven framework for yield estimation at the Gram Panchayat level. It is a direct assault on the inaccuracies and manipulations associated with the traditional Crop Cutting Experiments (CCEs). While CCEs remain the legal standard for yield measurement, YES-Tech aims to make the process smarter, faster, and more transparent.

Components of YES-Tech:

• Remote Sensing (RS) Data: High-resolution satellite imagery is used to create a “crop health index” and estimate the area sown for a particular crop. This data helps in identifying areas that have been severely affected by widespread calamities like drought.
• Weather Data: Data from the WINDS network and other sources is integrated to model the impact of weather variables on crop yield.
• CCE Data Optimization: Instead of conducting CCEs randomly, YES-Tech uses RS data to identify representative locations for conducting CCEs. This reduces the number of experiments required while improving the accuracy of the overall yield estimate for the notified area.
• Smart Sampling: The framework uses statistical techniques to draw a “smart sample” of locations for CCEs, ensuring that the chosen spots are truly representative of the conditions in the entire Gram Panchayat.
• CCE-Agri App: This mobile application is mandatory for capturing CCE data. It geotags the location, takes time-stamped photographs of the process, and transmits the data in real-time to a central server. This eliminates data fudging and delays in data transmission.

The goal of YES-Tech is to generate real-time, credible yield estimates, enabling claim payouts to be processed almost immediately after the harvest period, potentially reducing the claim cycle from months to weeks.

Weather Information Network and Data System (WINDS)

The WINDS initiative aims to establish a dense network of Automatic Weather Stations (AWS) and Automatic Rain Gauges (ARGs) at the block and Gram Panchayat level. This creates a granular, high-resolution weather data grid across the country.

Significance of WINDS:

• Improved Weather-Based Insurance: It provides the foundational data for more accurate weather-based insurance products, which can run parallel to PMFBY or be integrated within it.
• Better Assessment of Localized Calamities: With a weather station in or near every Panchayat, it becomes easier to verify and pay claims for localized events like hailstorms or heavy rainfall, reducing the basis risk associated with distant weather stations.
• Agricultural Advisories: The data collected can be used to provide real-time, location-specific agricultural advisories to farmers on irrigation scheduling, pest management, and other practices.
• Climate Risk Modelling: The long-term data generated by WINDS will be invaluable for building sophisticated climate risk models for Indian agriculture, helping to design better and more sustainable insurance products in the future.

Statistic: The government aims to establish over 1 lakh AWS/ARGs under the WINDS framework, creating one of the densest weather observation networks in the world, a critical step towards building a climate-resilient agricultural sector.

Critical Policy Appraisal

Despite the reforms, PMFBY continues to face significant challenges that require sustained policy attention.

Analytical Lens: UPSC Focus (Mains & Prelims)

Conceptual Basis

PMFBY is a policy-based scheme of the Government of India, operated by the Ministry of Agriculture and Farmers’ Welfare. It does not have a direct Constitutional article as its backbone but derives its mandate from the government’s welfare-state obligations and its strategic goals under Entry 14 (Agriculture) and Entry 28 (Markets and Fairs) of the State List, and the Union’s role in national planning and food security. It is a central component of the government’s broader strategy to double farmers’ income and build a climate-resilient agricultural economy.

UPSC Integration: Connecting the Dots

• GS Paper 3 (Economy): This is the most direct linkage. The topic is core to Agricultural Economics, covering subsidies, financial inclusion (bringing farmers into the formal financial system), food security, and the role of technology in agriculture (e-governance). It is also linked to public finance, as the subsidy burden is a significant part of the Union and State budgets.
• GS Paper 3 (Environment & Disaster Management): PMFBY is a key tool for climate change adaptation and disaster risk reduction (DRR). It financially insulates farmers from climate-induced shocks, which are increasing in frequency and intensity. The data from WINDS and YES-Tech can also contribute to better climate modeling and early warning systems.
• GS Paper 2 (Governance & Social Justice): The scheme is a case study in cooperative federalism, highlighting the challenges and successes of Centre-State collaboration in implementing a national scheme. It touches upon e-governance (NCIP portal), transparency, accountability (social audits), and its role in protecting the livelihoods of a vulnerable section of the population.

Long-Term Future Impact and Policy Relevance

The future of PMFBY is inextricably linked to technology. The success of YES-Tech and WINDS will determine whether India can finally crack the code of agricultural insurance. The long-term vision is to move away from the cumbersome CCE-based system towards a parametric insurance model, where claims are automatically triggered by verifiable data points (e.g., a certain deviation in rainfall, a specific drop in soil moisture measured by satellites). This would make claim settlement instantaneous, transparent, and free from disputes. Furthermore, the vast amount of data generated will be a “public good,” enabling the development of a vibrant agri-tech ecosystem, precision farming solutions, and better credit-risk modeling for banks. PMFBY is evolving from a simple insurance scheme into a comprehensive agricultural risk management platform.

Prelims Practice Question (MCQ)

Question: With reference to the Pradhan Mantri Fasal Bima Yojana (PMFBY), consider the following statements:

1. The scheme is mandatory for all farmers who have availed a Kisan Credit Card (KCC).
2. The premium paid by farmers for all Kharif crops is fixed at 1.5% of the sum insured.
3. The scheme provides coverage for post-harvest losses due to cyclonic rains for up to 14 days, assessed on an individual farm basis.

Which of the statements given above is/are correct? (a) 1 and 2 only (b) 3 only (c) 2 and 3 only (d) 1, 2 and 3

Answer: (b) 3 only Explanation:

• Statement 1 is incorrect. The “PMFBY 2.0” reforms of 2020 made the scheme voluntary for all farmers, including those with KCC loans.
• Statement 2 is incorrect. The premium for Kharif crops is fixed at 2% of the sum insured. The 1.5% premium is for Rabi crops.
• Statement 3 is correct. PMFBY provides coverage for post-harvest losses for a maximum of two weeks (14 days) for crops left to dry in the field against specific perils like cyclonic rains, and this is assessed on an individual farm basis, not on an area basis.

Mains Sample Question

Question (15 Marks, 250 Words): The recent technological interventions under PMFBY, such as YES-Tech and WINDS, mark a pivotal shift from a compensatory to a more predictive and transparent agricultural risk management framework. Critically analyze the potential of these reforms to address the scheme’s persistent challenges, while also discussing the new implementation hurdles they might introduce.

Mind Map Outline (Revision Structure)

• Pradhan Mantri Fasal Bima Yojana (PMFBY)
  • Core Purpose: Agricultural risk management, income stabilization, food security.
  • Historical Context (Evolution):
    • Predecessor Schemes:
      • NAIS (National Agricultural Insurance Scheme): Area approach, high basis risk, financially unsustainable.
      • MNAIS (Modified NAIS): Actuarial premium, individual assessment for localized risks, complex.
      • WBCIS (Weather Based Crop Insurance Scheme): Parametric, fast claims, very high basis risk.
    • PMFBY’s Goal: Combine best features, reduce farmer premium, mandate technology.
  • Key Features & Mechanics:
    • Premium:
      • Farmer’s Share: 2% (Kharif), 1.5% (Rabi), 5% (Horticulture/Commercial).
      • Subsidy: Shared by Centre & State.
    • Risk Coverage (Multi-Stage):
      • Prevented Sowing (up to 25% of sum insured).
      • Standing Crop (Yield loss due to non-preventable risks).
      • Post-Harvest Loss (up to 14 days, individual assessment).
      • Localized Calamities (Hailstorm, landslide, inundation, individual assessment).
    • Unit of Insurance: Village/Panchayat (major crops), Individual Farm (localized/post-harvest).
  • PMFBY 2.0 (Post-2020 Reforms):
    • Voluntary Participation: Shift from mandatory for loanee farmers.
    • Subsidy Cap: Centre’s share capped at 30% (unirrigated) & 25% (irrigated).
    • State Flexibility: More freedom to customize risk covers.
  • Technological Revolution (2023 onwards):
    • YES-Tech (Yield Estimation System based on Technology):
      • Components: Remote Sensing, Weather Data, Smart Sampling for CCEs.
      • Goal: Accurate and fast yield estimation.
    • WINDS (Weather Information Network and Data System):
      • Components: Dense network of AWS & ARGs.
      • Goal: Granular weather data for parametric triggers and advisories.
    • Other Tech: National Crop Insurance Portal (NCIP), CCE-Agri App.
  • Critical Appraisal:
    • Challenges:
      • High premium burden on states.
      • Delayed claim settlements.
      • Basis Risk.
      • Adverse Selection.
    • Way Forward:
      • Automation of claims.
      • Use of drones and AI.
      • Increased farmer awareness (AIDE campaign).
  • UPSC Focus:
    • Linkages:
      • GS-3 Economy (Subsidies, Food Security, Agri-Tech).
      • GS-3 Environment (Climate Adaptation, DRR).
      • GS-2 Governance (Federalism, E-governance).
    • Practice Questions: MCQ and Mains question.