Workspace / Farm intelligence
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EVIDENCE IN. CLEAR ACTIONS OUT.

Know your next move.

A focused recommendation workspace for wheat.

FROM EVIDENCE TO ACTION

Less guesswork.
More grounded decisions.

One crop photo. One soil report. Three practical next steps.

◉ Photo analysis▤ Soil insights↗ Action planning
01 Add evidence02 Review findings03 Your action plan
01 / INPUT

Start with your field

Wheat
Field context and uploads

Live analysis sends your files to your configured AI provider. Uploads are not saved to disk.

BUILT ON REFERENCES

Open the reference library

Loading references

FAO, university extension, ISRIC and Punjab sources. Each card states its geographic scope.

HOW IT WORKS

You bring the context.
Your copilot connects it.

01 · Observe

A photo helps describe symptoms. A soil report adds measurements, units and lab context.

02 · Understand

You review the readings. Fixed rules match confirmed evidence to practical next steps.

03 · Decide

Review the short brief and bring any missing measurements to your local adviser.

Connect live analysis

The sample walkthrough works immediately. To analyze your own files:

  1. Open .env in the project folder. If missing, copy .env.example to .env.
  2. Add your API key after OPENAI_API_KEY= and save.
  3. Restart the server with npm start, then open the exact URL printed in your terminal.

Keep your key in the local file. Do not paste it into this page or commit it to Git.

Live analysis uses the OpenAI API and sends uploaded files to OpenAI. API charges apply. Set OPENAI_MODEL in .env to change the model.