Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

Wheat (Triticum aestivum L.) is one of the most important cereal crops and is consumed as a
staple food around the globe. Wheat authentication has become a crucial issue over the last …

BACKGROUND A simplified computer vision‐based application using artificial neural
network (ANN) depending on multilayer perceptron (MLP) for accurately classifying wheat …

Seeds are of great importance to agricultural and industrial production. As such, rapid and
non-destructive detection methods must be developed for the industry and consumers to …

The effect of multi-stage heat pump fluidized bed atmospheric freeze drying (HP FB AFD)
and microwave vacuum drying (MVD) on the drying kinetics, moisture diffusivities …

Visual discrimination between barley varieties is difficult, and it requires training and
experience. The development of automatic methods based on computer vision could have …

Wheat infections caused by fungi of the genus Fusarium decrease yields and have serious
economic consequences. The produced mycotoxins have harmful effects on human and …

The aim of this study was to evaluate the usefulness of the texture and geometric parameters
of endocarp (pit) for distinguishing different cultivars of sweet cherries using image analysis …

To use machine vision technology in visual quality control of cereal seeds, sufficient
knowledge is necessary. In this work, the capability of machine visual systems, equipped …

BACKGROUND A computer vision‐based classifier using an adaptive neuro‐fuzzy
inference system (ANFIS) is designed for classifying wheat grains into bread or durum. To …