Rapid and non-destructive detection of genuine Thai Jasmine rice (Khao Dawk Mali 105
(KDML105)) from Pathum Thani1 (PTT1) and Phitsanulok2 (PSL2) under either milled or …

The aim of this study is to enhance the classification accuracy of rice varieties that are quite
similar in external observation. In this study, 17 rice grain varieties popularly planted in …

Histogram of Oriented Gradient (HOG) is a robust descriptor which is widely used in many
real‐life applications, including human detection, face recognition, object counting, and …

Seed varieties are often differentiated via the manual and subjective classification of their
external textural, spectral, and morphological biosignatures. This traditional method of …

The seed is an inevitable element for agricultural and industrial production. The non-
destructive paddy seed variety identification is essential to assure paddy purity and quality …

Rice is a primary source of food consumed by almost half of world population. Rice quality
mainly depends on the purity of the rice seed. In order to ensure the purity of rice variety, the …

In the grain industry, identifying seed purity is a crucial task because it is an important factor
in evaluating seed quality. For rice seeds, this attribute enables the minimization of …

We report the results of an in-depth study of 15 variants of five different Convolutional Neural
Network (CNN) architectures for the classification of seeds of seven different grass species …

Seed classification plays a crucial role in various agricultural and industrial applications,
such as crop breeding, seed quality assessment, and plant disease identification. This study …

Automatic gender determination received many attentions in the recent years due to its
potential applications in e-commerce and demographic data collection. Face and voice are …