Crop disease detection is important due to its significant impact on agricultural productivity
and global food security. Traditional disease detection methods often rely on labour …

Hazelnut is an agricultural product that contributes greatly to the economy of the countries
where it is grown. The human factor plays a major role in hazelnut classification. The typical …

This study deals with the issue of explainability in the classification of plant diseases by
deep learning methods. In particular, the explainability of deep learning models is shown …

Early detection of plant diseases in the agricultural sector is considered an important goal to
increase productivity and minimize damage. This study deals with the use of deep learning …

The escalating incidence of plant diseases presents considerable obstacles to the
agricultural domain, resulting in substantial reductions in crop yield and posing a threat to …

The automatic detection of diseases in tomato leaves significantly contributes to tomato
production and enables farmers to manage these issues more effectively. Tomatoes are a …

Plant diseases can harm crops and reduce the amount of food that can be cultivated, which
is problematic for farmers. Technology is being utilized to develop computer-based …

Green beans are a basic food item in the whole world. It's also an important agricultural
commodity. However, it faces threats like Anthracnose that destroy both production as well …

The bean leaves have very complicated structures, therefore these diseases are able to
infect not only upper surfaces, but also lower ones. In the initial stages it is rather difficult to …

This study investigates the possibility of segmenting modeled images of optical vortices
using neural networks. An original dataset was collected for the training and testing of neural …