This paper explores the use of deep learning algorithms in identifying diseases affecting Bangladesh jujube leaves, with the goal of improving crop yields and yields’ management. A dataset comprising 2400 images was ...

Rose cultivation is essential to the world's floriculture industry. But because it is frequently plagued with various leaf diseases, both the quality and quantity produced on roses will decline.Early discovery and prompt ...

This study presents a comprehensive deep learning-based framework for multiclass plant disease classification using high-resolution leaf images, with a particular focus on evaluating the performance of convolutional neural ...