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crop_leaf_diseases_vit

shehryars715

> **Copy of `wambugu71/crop_leaf_diseases_vit`** at revision `7d5b32bcd6f83a2f57e7e0346358fad276296877`, mirrored unchanged for the CropSaathi app. All credit to the original author, Wambugu Kinyua; the original license applies. This model is a Vision Transformer (ViT) designed to identify plant diseases in crops as part of a smart agricultural farming system. It has been trained on a diverse dataset of plant images, including different disease categories affecting crops such as corn, potato, rice, and wheat. The model aims to provide farmers and agronomists with real-time disease detection for better crop management. This Vision Transformer model has been fine-tuned to classify various plant diseases commonly found in agricultural settings. The model can classify diseases in crops such as corn, potato, rice, and wheat, identifying diseases like rust, blight, leaf spots, and others. The goal is to enable precision farming by helping farmers detect diseases early and take appropriate actions.

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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crop_leaf_diseases_vit

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