Abstract Convolutional Neural Networks (CNNs) are essential tools in many image
recognition tasks. In this article we propose using a Deep Convolutional Neural Network for …

The development of mobile optoelectronic graders for separating viable seeds by
spectrometric properties with high detection accuracy represents a very relevant direction of …

The relationships between the basic physical properties of seeds of selected spindle
species were evaluated for the needs of seed sorting operations. Physical properties were …

Information about the variations and correlations between the physical properties of seeds is
essential for designing and modeling seed processing operations. The aim of this study was …

Due to technological progress in forestry, seedlings with covered root systems—especially
those grown in container nurseries—have become increasingly important in forest nursery …

Scarification involves the partial removal of the seed coat on the side of the hilum, opposite
the radicle, to speed up germination in acorns. The aim of this study was to determine the …

Research Highlights: Seed separation criteria and the optimal parameters of sorting devices
were described. Background and Objectives: Seeds are often sorted into fractions which are …

The basic physical properties of hemp seeds were measured to determine the correlations
between these properties to facilitate the planning of seed sorting operations. The basic …

Differences in physical and structural characteristics of seeds may indicate variability within
and between plant populations. In the present study, we performed a close characterization …

Viburnum is a genus of colorful and ornamental plants popular in landscape design on
account of their high esthetic appeal. The physical properties of viburnum seeds have not …