PLANT DISEASE DETECTION SYSTEM

Abstract

Abstract-This project develops a Plant Leaf Disease Detection System that uses machine learning to identify plant diseases from uploaded leaf images .By applying a pre-trained deep learning model, the system provides real-time diagnosis and suggests remedies stored in a database .It also integrates the Google Translate API for multilingual support, making the system accessible to a global audience. The aim is to assist farmers in early disease detection, improve crop management, and promote sustainable agricultural practices.

Plant phenotyping relevance

葉画像から植物病害を推定する機械学習システムの開発が中心であり、植物の病害状態を直接評価するフェノタイピング手法に該当する。

Code and data availability

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