Cultivating with Intelligence

How AI is moving agriculture from record-keeping to timely action.

What should a farmer’s data do for them on the morning a decision has to be made?

For years, digital agriculture meant moving land records, registrations and scheme applications online. This edition of the i² Newsletter looks at the step after that: systems that turn a record into a recommendation and a log into a forecast.

The editorial sets the tone. Farm data is rarely scarce; it is held by separate institutions whose records do not always connect. Better agricultural intelligence depends not just on more sophisticated algorithms, but also on common identifiers, sound governance and regularly updated registries.

Drawing on CSM Technologies’ work in India and Africa, the issue shows what connected information makes possible.

Inside this issue, you will explore how:

  • Satellite imagery and radar track crop health through the monsoon and help validate paddy cultivation for procurement in Odisha
  • Ethiopia’s wheat rust early warning system turns field samples into timely advice for growers
  • Soil surveys and weather data shape fertiliser and irrigation plans for individual holdings
  • Voice access in local languages and AI agents could make Krushak Odisha and GO SUGAM easier to use, with approvals left to officials
  • Verified farmer profiles and warehouse receipts are widening access to agricultural credit
  • Procurement, tea auction and depot platforms keep produce traceable from purchase centre to ration shop

The edition closes with a candid look at where evidence still falls short, from soil cards that describe a neighbour’s plot to pest registers that never note a clean field.

Explore the full edition to see how agricultural data and AI are being used across the farming value chain, and where better information is still needed.

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