The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …
Search
Language: en ×
Clear filters
375 results for “image processing, computer vision, food sector”
In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…
Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …
In our global World, studies on food and food related-sectors, which are among the leading sectors in Turkey, continue to gain momentum to increase productivity and quality. In parallel, the developments in the information technology motivate researchers to ga…
In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…
P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…
In this study, freeze drying (FD) technology, which is used commonly to preserve the beneficial aromas of the products by prolonging the shelf life and therefore shown as the healthiest drying method. Bananas were used as the dried product that consumes a lot …
The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…
Kanser küresel olarak ölümlere neden olan ciddi bir halk sağlığı sorunudur. Bu sağlık sorununun nedenleri genetik (%5) ve çevresel etmenler (%95) olarak iki gruba ayrılmaktadır. Çevresel etmenler arasında ise beslenme alışkanlıklarının kanser oluşumunda önem…
In the world where tourism is developing rapidly, people travel more and are now turning to alternative tourism activities according to the conditions of the present day. In this context, it is observed that, in line with the socio-economic developments of the…
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…
Microalgae are recognized as environmentally sustainable and biologically renewable resources for the production of high-value products such as biomass, biofuels, dietary supplements, and pharmaceuticals. However, their large-scale cultivation is highly sensit…
Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …
Sideritis türleri halk arasında çay olarak sindirim sistemi bozukluklarının tedavisinde karminatif, digestif ve diüretik özellikleri nedeniyle geleneksel olarak tıbbi bitki olarak kabul edilmektedir. Son zamanlarda, bu bitkinin biyoaktivite potansiyeli hakkınd…
The quality control process for determining fabric faults causes high cost and time loss when performed with human eyes. Adding a real-time system to the fabric production mechanisms is very difficult to detect mistakes. In this study, 5 MP Raspberry Pi camera…
Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …