One FieldFull PRD
Impressionist oil painting of cream daisies in a field under a teal sky
NASA Space Apps Challenge

Plant what the sky can carry.

A crop rotation tool for Java farmers and landowners. Compare three seasons of rice, maize, and soybean against NASA rain and soil-moisture data for your area.

14–15 Nov

Hackathon

All of Java

Kecamatan level

3 seasons

Rainy · early dry · late dry

4 inputs

NASA · soil · crop · priority

“Create a decision‑support tool that uses NASA Earth observations along with local soil information, crop characteristics, and farmer priorities to help farmers explore rotation strategies.”

The Field Shift challenge text. Judges score Impact, Creativity, Validity, Relevance, and Presentation.

The problem

Rice. Rice. Rice.

Many Java farmers plant rice in every season, also when the rain is too low. This uses a lot of water and gives the soil no rest. Farmers have no simple way to compare other rotations against the rain in their own area.

Rice, three seasons in a row
Part of rice water need that normal rain covers.

Example area. Rain only, no irrigation.

Try the idea

Three seasons. Four plans. Your call.

Pick a soil type and a priority. The plans change their order, but the tool never hides a plan. Rice–rice–rice always stays as the baseline.

How much of the water need does rain cover?
Example area. Rain only. Tap a plan to see why.

Your soil

Your priority

Scroll to compare all four plans.

Consider first

Rice -> Soy -> Rest

Soybean adds nitrogenFallow rests the soil
The farmer flow

From open to decided in under 3 minutes.

  1. 1

    Find my field
    Search a village, tap the map, or tap an FTW outline.
    F1

  2. 2

    Soil and priority
    Clay, loam, sandy, or “I do not know”. Then one goal.
    F2

  3. 3

    Compare plans
    Rain cover, soil fit, and a soil note for each season.
    F3

  4. 4

    See why
    Each number opens its source, period, and grid scale.
    F4

  5. 5

    Save or share
    Send the plan to the person who farms the land.
    F5
Success criteria

How we will know it works.

Each target maps to a judging criterion. We measure them before we submit on 15 November.

4 of 5

Farmer task
Test users choose a plan without help, in 3 minutes or less.
Impact

4 of 5

Understanding
Test users say why their plan saves water or helps the soil.
Impact · Validity

100%

Java coverage
Every kecamatan shows plans, or a reason why data is missing.
Validity

100%

Evidence tracing
Every number links to a source, period, and spatial scale.
Validity

4 / 4

Challenge fit
NASA data, local soil, crop traits, and farmer priority.
Relevance

Secondary target: a PPL or district staff member finds the 10 kecamatan with the largest dry-season water gap in one province, in 2 minutes or less.

Users

Two users. One set of evidence.

Main user
The farmer or landowner
The person who decides what is planted. The owner may farm the land or rent it out.

Decision

Which rotation to follow, or to discuss with the tenant, for the next three seasons.

Secondary user
District staff
One view that sorts kecamatan by the dry-season water gap for rice.

Decision

Where legume seed and PPL visits go first.

What goes in

Seven ingredients, each at its own scale.

A 10 km rain cell is not your field. The tool shows the scale of every number, so a large cell never looks like field data.

IMERG

NASA

10 km
Normal rain per season, 2001–2025

POWER

NASA

Point
Min and max temperature for crop water use

SMAP L4

NASA

9 km
Root-zone moisture now, compared to normal

KATAM

Kementan

Kecamatan
Planting windows and crops per kecamatan

BIG

Indonesia

Boundary
Kecamatan boundaries for all of Java

FTW 2025

Fields of The World

Field
Predicted field outlines on the map

You

The farmer

Your field
Soil type and one priority, in 2 taps
Non-goals

What we will not build.

Two days is short. These stay out, so the core flow can be good.

  • Price, profit, or yield predictions
  • Irrigation, fertilizer, or pest advice
  • A checked recommendation for one field
  • Soil tests, crop history, or land ownership
  • User accounts and export versioning
  • An AI chat assistant
  • Crop detection from HLS images
Roadmap

The road to 15 November.

  1. Now → 13 Nov
    Prep

    Prepare Java data. Write the crop table and rule tests. Test with 5 farmers.

    We are here
  2. 14–15 Nov
    MVP

    Farmer flow F1–F5 and the district view. Demo video and project page.

  3. Dec – Jan
    v1.1

    Last season’s crop and water source inputs. Optional SoilGrids default.

  4. 2027
    v2.0

    A local agronomist reviews the plans. More crops. Price data if reliable.

Risks

What could go wrong, and what we do.

Space Apps rules limit work before the event
Read the rules now. Keep prep to data and research if needed.
KATAM access fails
Use default season dates and say so. Try a dated manual import.
Java data takes too long to prepare
Run by province, from now. Show “unavailable” until done.
Irrigation is unknown
Label rain cover as “rain only”. Add water source in v1.1.
Crop table or soil rules are wrong
A source for each row. PPL review. Rule tests fix the output.
No farmers to test before the event
Recruit now through family, PPL contacts, and farmer groups.
The team

Five people. One Field.

The people behind One Field.

Open decisions

Five answers we still need.

  1. 1

    Confirm the Space Apps rules on work before 14 November.

  2. 2

    Confirm the KATAM access path.

  3. 3

    Approve the crop list, the plan sets, and the crop-table sources.

  4. 4

    Decide if SoilGrids can be a fourth data source in v1.1.

  5. 5

    Set the team size, the phone, and the network targets.
Read the full PRD

Draft for review · 30 September 2026 · Data: NASA, FTW, BIG, KATAM