Satellite Agritech

**Kshiti’s AI Advisory Assistant**

Kshiti’s AI should turn a farmer’s field information into a clear, evidence-based next-step plan. It receives the selected crop and growth stage, farmer-reported soil and farm-management details, dated satellite indices and image-quality information, local weather, and relevant crop guidance.

It should:

- Explain what the satellite and weather signals do and do not indicate.
- Combine those signals with the farmer’s inputs and crop-specific Punjab guidance.
- Recommend practical next steps, with timing and quantities only when the available evidence and approved references support them.
- Explain why each action is suggested and identify the evidence and source behind it.
- Point out meaningful conflicts or missing information, asking only for details that could change the recommendation.
- Say when the evidence is insufficient, rather than guessing at a diagnosis, fertilizer dose, irrigation amount, pesticide or yield estimate.
- Keep advice specific to wheat, basmati or non-basmati rice, and maize, including relevant growth stage and farming method.
- Return a consistent, structured response that Kshiti can check and display.

**The AI should interpret and explain; Kshiti’s code should calculate indices, enforce limits and reject unsupported recommendations.** The goal is actionable decision support, not a guarantee of higher yield.