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Detection of Tomato Leaf Disease in Leaves with Deep Learning MobileNetV2 with Gaussian and Gabor Preprocessing

International Journal of Drug Delivery Technology · 17 Aug 2026 · 10.25258/ijddt.16.76s.123

Abstract

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Plant phenotyping relevance

トマト葉の病害を画像と深層学習で検出する手法が題名上の中心であり、植物の病害状態を観察的に推定するフェノタイピング研究に該当する。

titleDetection of Tomato Leaf Disease in Leaves with Deep Learning MobileNetV2 with Gaussian and Gabor Preprocessing

Code and data availability

The paper's phenotyping analysis is based on the publicly available PlantVillage plant leaf disease image dataset hosted on Kaggle (54,303 labeled leaf images across 38 classes), which the authors explicitly state was sourced from a publicly available Kaggle dataset. No author-specific code, models, or derived datasets

Datasetpublic

The research incorporated PlantVillage dataset(24) accessible on Kaggle that contains 54,303 plant leaf images showing both healthy and diseased conditions spanning across 38 specific categories.

Open resource ↗Kaggle · pdf-raw-page:2 lines:1-105

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