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A multi-modal 3-stage AI pipeline for diagnosing crop diseases in Indian agriculture by fusing vision-based detection (Swin Transformer, DETR, SAM2) with real-time environmental sensor data (NPK, pH, Temperature, Humidity).
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The project combines high-end computer vision models (SAM2, DETR) with tabular sensor fusion for a specific vertical. However, with 0 stars and forks, it is currently a personal or academic prototype without evidence of deployment, validation, or a surrounding ecosystem. It is highly replicable by any team with CV experience.
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