Computer vision-based method for classification of wheat grains using artificial neural network

A computer vision system for coffee beans classification based on computational intelligence techniques

(2016) Emanuelle Morais de Oliveira et al.   JOURNAL OF FOOD ENGINEERING

Artificial neural networks to model the production of blood protein hydrolysates for plant fertilisation

(2015) Raúl Pérez Gálvez et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Characterization of Mexican coffee according to mineral contents by means of multilayer perceptrons artificial neural networks

(2014) Roberto Muñiz-Valencia et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

A real time quality control application for animal production by image processing

(2014) Cemil Sungur et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

An accurate computation method based on artificial neural networks with different learning algorithms for resonant frequency of annular ring microstrip antennas

(2014) Ali Akdagli et al.   Journal of Computational Electronics

Comparing data mining classifiers for grading raisins based on visual features

(2012) Kaveh Mollazade et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Standardization of UV–visible data in a food adulteration classification problem

(2012) Carolina V. Di Anibal et al.   FOOD CHEMISTRY

Discrimination of wheat grain varieties using image analysis: morphological features

(2011) Piotr Zapotoczny   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Raisin Quality Classification Using Least Squares Support Vector Machine (LSSVM) Based on Combined Color and Texture Features

(2011) Xinjie Yu et al.   Food and Bioprocess Technology

A machine vision system for classification of wheat and barley grain kernels

(2011) F. Guevara-Hernandez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Color image segmentation with genetic algorithm in a raisin sorting system based on machine vision in variable conditions

(2010) M. Abbasgholipour et al.   EXPERT SYSTEMS WITH APPLICATIONS