MausamSetu
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Block to panchayat

MausamSetu

Coarse block forecasts stay on screen. A separate model estimates rainfall, temperature, humidity, and wind for each panchayat, then shows whether that estimate is more accurate than the block value itself.

Product modules

The desk is organised around field use, map review, forecast skill, and officer-controlled advisories.

Panchayat weather desk

Rain, temperature, humidity, wind, and cloud cover for the selected village, with a confidence score and an uncertainty range.

Spatial layers

Switch the map between the block input, the downscaled estimate, observations, model error, and confidence.

Forecast comparison

See the coarse block value beside the village estimate, the historical average, and the difference between them.

Skill against baseline

MAE, RMSE, bias, and R² show whether downscaling beats copying the block forecast onto every panchayat.

Advisory workflow

Rule-based crop advice stays a draft until an agriculture officer reviews it and chooses to publish.

Source control

Every estimate carries a data-source label and a generation time. Official agency data is never invented.

Processing path

  1. 01

    Block forecast

  2. 02

    Features

  3. 03

    Downscaling model

  4. 04

    Village estimate

  5. 05

    Validation

  6. 06

    Advisory

Field users

Farmers select a panchayat, read the coming days, and see crop notes that are marked as general decision support.

Agriculture officers compare the block input with the village estimate, inspect low-confidence places, and publish advisories only after review.

Demo access

Farmer
farmer@example.com
Officer
officer@example.com
Administrator
admin@example.com

Passwords: Farmer@123, Officer@123, Admin@123. Boundaries in the demo are synthetic cells, not official village maps.