All problem statements
SIH26074SoftwareAgriculture, FoodTech & Rural Development

Downscaling of weather forecast from Block level to Panchayat level: Inferring high-resolution plots/ data/ information from low-resolution plot /data /information /variables for agro-meteorological advisory services.

Ministry of Earth Sciences (MoES)

Ideas submitted
304 / 500
Deadline
5 October 2026 · closed
Category
Software
Theme
Agriculture, FoodTech & Rural Development

Looks like it needs

AI / MLData / Analytics

Downscaling of weather forecast from Block level to Panchayat level: Inferring high-resolution plots/ data/ information from low-resolution plot /data /information /variables for agro-meteorological advisory services.

Official listing Match my team

How contested this one is

as of 11 Nov
304ideas submitted

That puts it 134th of the 265 statements that have any ideas at all, out of 265 on the board. It has not moved since the last check.

See what the whole field is picking →

Counted from the official portal twice a day. The portal itself only shows today.

Winning Presentation Decks

Preparing your pitch deck for SIH26074?

Download 3 real winning Smart India Hackathon presentations (PDF) with worked feasibility slides, jury defense notes, and the 6-slide official AICTE template blueprint.

Winning Decks

What a jury will ask about this

  1. 01“Who actually faces this problem today?”

    What works: Naming one real person and what they do instead right now. Reading the statement back is not an answer, they already read it.

  2. 02“This already exists. Why yours?”

    What works: That existing tools are consumer products. Yours is built for the ministry, works offline, in the local language, on official data.

  3. 03“Then why has nobody solved it yet?”

    What works: The real blocker. No connectivity, no incentive, nobody owns the data. You only know this if you read the ministry's own reports.

All 18 questions, with the trap answers →

More in Agriculture, FoodTech & Rural Development

See all →