Plant Disease Detection using AI a System that Detects Plant Diseases from Leaf Images
DOI:
https://doi.org/10.15662/IJEETR.2026.0802431Keywords:
Plant Disease Detection, Artificial Intelligence (AI), Machine Learning, Deep Learning, Convolutional Neural Networks (CNN), Image Processing.Abstract
Agriculture plays a vital role in the global economy, yet plant diseases significantly reduce crop yield and quality. Early and accurate detection of plant diseases is essential to minimize losses and ensure food security. This paper presents an Artificial Intelligence (AI)-based system for automatic detection and classification of plant diseases using leaf images. The proposed approach leverages deep learning techniques, particularly Convolutional Neural Networks (CNNs), to analyze visual patterns such as color, texture, and shape variations in infected leaves.
A dataset of healthy and diseased plant leaf images is used to train and validate the model. Image preprocessing techniques, including resizing, normalization, and augmentation, are applied to improve model performance and generalization. The trained model is capable of identifying multiple types of plant diseases with high accuracy. The system can be deployed as a web or mobile application, enabling farmers to capture leaf images in real time and receive instant diagnostic feedback.
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