WINDS: 1,843 of 50,510 Weather Sensors in Place as of 9 September

Why a nearby observation matters

Rainfall at a distant station may not describe what happened in a particular village. A heavy shower can affect one locality while nearby fields receive much less rain. Farmers also need information relevant to crop stages rather than just a seasonal total. Rain during sowing, a prolonged dry interval and rain near harvest can have very different consequences for the same crop.

WINDS is designed to strengthen this local evidence and bring observations onto a shared digital platform. It is an initiative of the Department of Agriculture and Farmers Welfare. The Mahalanobis National Crop Forecast Centre coordinates implementation, while States and implementing partners have operational responsibilities. The India Meteorological Department (IMD) contributes technical expertise; it should not be mistaken for the ministry administering the programme.

Two kinds of instrument serve different purposes

An automatic rain gauge records rainfall. An automatic weather station combines observations of several weather conditions, including rainfall, temperature, humidity and wind. These are observations of conditions at a place and time. A forecast is a further product, developed by analysing observations and other information. Installing a sensor does not, by itself, create an accurate forecast for every farm.

The WINDS manual envisages weather stations at block, tehsil or taluk level and rain gauges at gram-panchayat level. This is a network design, not confirmation that every administrative unit already has functioning equipment. Existing observations can contribute alongside new installations when they meet the required standards. The purpose is better coverage and usable, comparable information, rather than two disconnected sets of old and new readings.

What the rollout figures establish

The July 2026 parliamentary reply provides an earlier official checkpoint. Seven States and Union Territories had adopted WINDS: Assam, Himachal Pradesh, Kerala, Odisha, Puducherry, Uttar Pradesh and Uttarakhand. The ministry reported 16,843 approved sites, completed civil works at 1,188 sites and 892 installed instruments. These are different stages. Approval is not installation, and completed civil work does not prove that an instrument is transmitting usable observations.

The September figures in the newspaper concern a reported installation programme covering about 50,500 instruments. They should not be divided by July's approved-site count to calculate a single completion rate: the dates and denominators differ. For the two September targets alone, the reported installations total 1,843 out of 50,510, or about 3.6%. That calculation measures reported installation against that target, not the reliability of every reading.

The newspaper described rejected sites, repeated site entries and locations awaiting clearance. It also reported a December 2025 amendment limiting rooftop rain gauges, generally to 10%, with a 15% exception for specified vulnerable areas. A company representative criticised the change as retrospective. That remains an attributed implementation complaint, not a court finding that the amendment is unlawful or that every delay has the same cause.

Why the ground-versus-rooftop question is scientific

The 2023 manual already preferred ground siting. Its rain-gauge provisions describe level ground with short grass or natural earth, ideally a plot measuring four metres by three metres. They also allow a single-storey rooftop where suitable siting is unavailable or in flood-prone areas. The original text therefore contains an exception; it does not establish that roofs and open ground always give interchangeable observations.

A building can obstruct rain or change airflow around a collector. The United States Geological Survey's precipitation guidance explains that nearby structures and trees can alter the quantity caught through obstruction and turbulence. A convenient vacant corner is therefore not necessarily a representative measurement site. Securing land and checking its exposure are linked tasks, rather than unrelated administrative and scientific formalities.

Standardisation also makes records more comparable across locations and years. The World Meteorological Organization develops guidance on instruments, observation methods and quality control for this reason. A record needs information about how and where it was obtained. Otherwise, a change in exposure or instrument behaviour can be confused with a real change in weather conditions.

How observations connect with crop insurance

The Pradhan Mantri Fasal Bima Yojana (PMFBY) uses yield assessment and other provisions to determine eligible losses. Weather information can support those processes; it does not replace every scheme condition with a rain-gauge trigger. The related Restructured Weather Based Crop Insurance Scheme uses specified weather measurements as indicators of likely crop loss. Its notified reference station and agreed product terms therefore have particular importance.

The weather-based scheme's operational guidelines explain that payout structures use defined weather triggers. They also provide for reference and backup stations to be notified for an insurance area. A measurement must therefore be connected to the relevant location, period and contract. The mere occurrence of rain, or the announcement of a new station, does not establish an individual farmer's entitlement.

This distinction also explains basis risk: an insurance indicator and a farmer's actual loss may not match closely. For example, the reference station may record adequate rain while a nearby insured field experiences a damaging dry interval. Better local observations can help address that mismatch, but cannot guarantee its removal. Crop conditions, the chosen indicator and the policy's design still matter.

Equipment must become a continuing service

The network's value depends on more than the initial installation photograph. Instruments need maintenance and calibration, and observations must reach the intended platform with their time and location intact. Missing or implausible records need to be identified rather than silently treated as reliable measurements. The weather-based insurance guidelines assign data providers responsibilities for equipment quality, maintenance, validation and dissemination.

Research discussed on a World Bank blog also cautions against assuming that index insurance automatically produces the same benefits everywhere. Product design and implementation influence results. For WINDS, the practical lesson is to judge both coverage and usefulness. Which sites operate consistently, whose fields do their readings represent, and does the information support timely decisions? A large installation total cannot answer those questions on its own.

Conclusion

WINDS seeks to close an important gap between broad weather information and the local evidence agriculture requires. Its rollout difficulty shows why site access, measurement standards and dependable operation must be planned together. The immediate task is not to abandon accuracy for speed, or to treat approved locations as completed infrastructure. It is to secure suitable sites and turn installed instruments into a reliable, transparent stream of observations that farmers and insurers can actually use.