Classification of Plant Leaf Detection by Using Deep Learning

Abstract

Plant diseases influence the growth of their respective species; therefore, their early identification is very important. Many Machines Learning (ML) models have been utilized for the recognition and order of plant infections yet, after the progressions in a subset of ML, or at least, Deep Learning (DL), this area of exploration seems to have extraordinary potential with regards to expanded precision. This audit gives a complete clarification of DL models used to picture different plant infections. Many developed/modified DL architectures are implemented along with several visualization techniques to detect and classify the side effects of plant illnesses. Key Words: Plant Disease; Deep Learning (DL); Convolution Neural Networks (CNN); Machine Learning (ML); F1-score, Tensorflow tf, FastAPI.

Code and data availability

The paper is a review-style article on deep learning for plant disease detection. It mentions using the PlantVillage dataset, but PlantVillage is a pre-existing public dataset cited as prior work, not a paper-specific asset, and no authors' code, trained models, or data deposit with a public URL is provided. No data or

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