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AgricultureAIMobileIoT

Krishi Pulse — Satellite & Drone Crop Intelligence

Every field gets a daily health check from space — and farmers get advice as a WhatsApp voice note.

Client
A farmer-producer organisation & agri-input company
Industry
Agriculture
Year
2025
Timeline
7 months
Krishi Pulse dashboard and mobile app
18,000acres monitored daily
9 daysearlier pest detection
+14%average yield uplift
faster insurance claims
Overview

Krishi Pulse fuses Sentinel-2 satellite imagery, drone scans and soil sensors to detect crop stress, pest outbreaks and irrigation gaps days before the eye can see them. Advice reaches farmers as simple voice messages in Punjabi or Hindi on WhatsApp, and field evidence powers faster crop-insurance claims.

The challenge

Agronomists could visit each farm only a few times a season. By the time pest damage or water stress was visible, yields were already lost, and many farmers found text-heavy apps hard to use.

Our solution

We built a geospatial AI pipeline that computes vegetation indices for every registered field, flags anomalies, and uses a vision model on farmer-uploaded leaf photos to identify disease. A voice-first WhatsApp bot delivers the recommendation, the dosage and the nearest input dealer.

Inside the platform

Key capabilities

01Geospatial AI

  • NDVI / NDWI health maps for every field
  • Pest & disease outbreak early warnings
  • Yield estimation before harvest
  • Irrigation scheduling from soil sensors

02Farmer Experience

  • WhatsApp voice bot in Punjabi & Hindi
  • Leaf-photo disease diagnosis
  • Mandi price trends & best selling window
  • Works on basic Android phones

03Enterprise Console

  • Agronomist field-visit planning
  • Satellite evidence for insurance claims
  • Input demand forecasting by village
  • Carbon & sustainability reporting
Gallery

Screens & experiences

Technology stack

Google Earth EnginePyTorchPostGISWhatsApp Business APIReactMapboxGCP

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