Deep Learning Based Plant Leaf Disease Detection

Author(s)	Gitanjali Jadhav, Gayatri Shelkar, Samiksha Bodkhe, Darshana Chaudhari, Prof. A. B. Gadewar
Country	India
Abstract	Plant leaf diseases cause significant losses in agricultural productivity, making early detection essential. This research presents a deep learning–based approach for automatic plant leaf disease detection using image analysis. A Convolutional Neural Network (CNN) is employed to extract features from leaf images and classify them as healthy or diseased. Image preprocessing and data augmentation techniques are applied to improve accuracy and robustness. Experimental results show that the proposed model achieves reliable performance and outperforms traditional methods. The system provides a fast and cost-effective solution that can support early disease diagnosis in smart agriculture.
Keywords	Deep Learning, Plant Leaf Disease Detection, Convolutional Neural Network (CNN), Image Processing, Smart Agriculture, Computer Vision
Field	Engineering
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-03-12

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