Satellite monitoring for Brazilian farmersManaged by Flukebase

Optz

Lets small Brazilian farmers see their land from space — crops, weather, change over time — without the agribusiness price tag.

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Next.js 16 platform enabling Brazilian farmers to monitor rural properties via satellite imagery from STAC/Brazil Data Cube/INPE, with CAR integration, NDVI vegetation indices, AI-powered change detection, and Bitcoin Lightning payments.

Built with

  • Next.js 16
  • MapLibre GL
  • Three.js
  • Python/OpenCV
  • OpenAI Vision
  • Tailwind CSS

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Experience Optz

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Case Study

The thinking behind Optz

  1. Problem

    Small and medium Brazilian farmers have no affordable way to monitor crop health, deforestation, or land changes using satellite data. Existing tools are expensive and complex.

  2. Solution

    Built a Next.js 16 app with MapLibre GL for interactive maps, Three.js for 3D terrain visualization, Python OpenCV for image enhancement, and OpenAI Vision API for AI-powered change detection — all accessible via a bilingual (pt-BR/en) interface.

  3. Impact

    Makes satellite-based land monitoring accessible to farmers who previously had no visibility into their parcels from space. Supports Bitcoin Lightning payments via BTCPay Server.

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