Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

Studies regarding image classification based on plant and crop disease images that were
acquired using a visible light camera have been conducted in the past, whereas those …

The food security major threats are the diseases affected in plants such as citrus so that the
identification in an earlier time is very important. Convenient malady recognition can assist …

Extensive research has been conducted on image augmentation, segmentation, detection,
and classification based on plant images. Specifically, previous studies on plant image …

This study proposes a double-track method for the classification of fruit varieties for
application in retail sales. The method uses two nine-layer Convolutional Neural Networks …

In this work, we have combined fluorescence imaging spectroscopy (FIS) and supervised
learning methods to identify and discriminate between citrus canker, Huanglongbing, and …

The most important aspect of automatic driving and traffic surveillance is vehicle detection. In
addition, poor road conditions caused by potholes are the cause of traffic accidents and …

Video content analysis and video classification are some of the very tricky problems among
computer vision researchers. Especially in sports videos, shared common actions appear in …

There have been various studies conducted on plant images. Machine learning algorithms
are usually used in visible light image-based studies, whereas, in thermal image-based …

This paper discusses the Convolutional Neural Network (CNN) applied in emergency
vehicle image classification. Emergency vehicles are often found stuck in traffic congestion …