In many crops worldwide, including hazelnuts, the majority of stages in production and
delivery to end-users are conducted either manually or with machine equipment lacking the …

The purity of the seeds is one of the important factors that increase the yield. For this reason,
the classification of maize cultivars constitutes a significant problem. Within the scope of this …

The climate crisis is one of the most significant challenges of the twenty-first century. The
primary cause of high carbon emissions is industrial production that relies on carbon-based …

Purpose: In the proposed method, nature-inspired optimization algorithms are used to find
the feature set that will best represent the sound data. It is aimed to increase the success …

The classification of an individual as male or female is a significant issue with several
practical implications. In recent years, automatic gender identification has garnered …

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 …

With the development of deep learning technology, more and more researchers are
interested in ear recognition. Human ear recognition is a biometric identification technology …

Purpose: Most of the diseases in tomatoes can be determined by observing the leaves.
Therefore, the observation of tomato leaves is of critical importance in vegetable cultivation …

Biometric-based personal authentication systems have experienced significant demand,
primarily driven by growing concerns surrounding privacy and security in various …

Purpose: Automatically detecting the stage of sunflower plants with deep learning methods.
Theory and Methods: With deep learning methods, solutions are offered to problems in …