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Potato Disease Classification using TensorFlow is a project designed to identify three types of potato plant health: Early Blight, Healthy, and Late Blight. This machine learning model employs convolutional neural networks (CNNs) to analyze images, aiding farmers in early disease detection and crop protection.

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jupyter-notebook potato-disease tensorflow

potato_disease_classification's Introduction

๐Ÿ‘‹ Hi, Iโ€™m Beautlin S

Beautlin29

Info about me :

  • I am currently an undergraduate student pursuing Electronics and Communication Engineering at Anna University. My academic pursuits are complemented by a keen interest in exploring diverse topics and domains, with a focus on Machine Learning, Computer Architecture and Digital Electronics.

  • I am committed to expanding my knowledge and understanding in these areas, and I am enthusiastic about engaging in meaningful projects and collaborations that contribute to these fields.

  • ๐Ÿ“ซ Should you wish to get in touch, please feel free to reach me at [email protected]. I look forward to any potential opportunities for learning and growth.

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