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June 4, 2026Open Access

An Intelligent Deep Learning Based System for Automated Detection and Classification of Potato Plant Diseases

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Key Points

This work aims to develop a deep learning-based system for the automated detection and classification of potato plant diseases.
Utilized a convolutional neural network (CNN) for disease classification.
Integrated FastAPI for easy deployment of the system.
Provided AI-based treatment recommendations for detected diseases.
Achieved accurate classification of potato diseases using the CNN model.
Successfully implemented system deployment with user-friendly interface via FastAPI.

Implication

Demonstrates automated detection and classification of potato plant diseases, indicating improved agricultural management.

Abstract

This work presents a CNN-based potato disease classification system integrated with FastAPI deployment and AI-powered treatment recommendations.

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Cite This Study

Sarvagya Gupta (2026) studied this question.

synapsesocial.com/papers/6a23ba3c71a5da9775e7603c https://doi.org/10.5281/zenodo.20546772

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