PLANT DISEASE IDENTIFICATION USING AI

Abstract

Plant diseases pose a significant risk to both food security and the health of green spaces. However, identifying these diseases quickly remains a challenge in many regions due to inadequate infrastructure and limited development. Fortunately, the combination of widespread internet access and recent advancements in computer vision, particularly through deep learning, has opened up new possibilities for diagnosing diseases based on images. By utilizing a publicly available dataset containing images of healthy and diseased plant leaves gathered under controlled conditions, we can train a deep convolutional neural network to recognize various plant diseases. This approach, which involves training deep learning models on large and accessible image datasets, offers a promising pathway to enable global-scale crop disease diagnosis with the assistance of networks.