Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble

Predicting the ripening of papaya fruit with digital imaging and random forests

(2018) Luiz Fernando Santos Pereira et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Calibration and testing of a Raman hyperspectral imaging system to reveal powdered food adulteration

(2018) Santosh Lohumi et al.   PLoS One

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barley, Naked Barley, and Wheat Contaminated with Fusarium

(2018) Jongguk Lim et al.   SENSORS

Comparative Performance Analysis of Support Vector Machine, Random Forest, Logistic Regression and k-Nearest Neighbours in Rainbow Trout (Oncorhynchus Mykiss) Classification Using Image-Based Features

(2018) Mohammadmehdi Saberioon et al.   SENSORS

Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour

(2018) Xin Zhao et al.   Applied Sciences-Basel

Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

(2018) Diego Inácio Patrício et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Bioactive phytochemicals in barley

(2017) Emmanuel Idehen et al.   JOURNAL OF FOOD AND DRUG ANALYSIS

Storage time prediction of pork by Computational Intelligence

(2016) Ana Paula A.C. Barbon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2016) Kadir Sabanci et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition

(2016) Yago Saez et al.   SENSORS

Consistency of random forests

(2015) Erwan Scornet et al.   ANNALS OF STATISTICS

Identifying barley varieties by computer vision

(2015) Piotr M. Szczypiński et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Discriminating rapeseed varieties using computer vision and machine learning

(2015) F. Kurtulmuş et al.   EXPERT SYSTEMS WITH APPLICATIONS

Computer image analysis as a tool for classifying marbling: A case study in dry-cured ham

(2015) Israel Muñoz et al.   JOURNAL OF FOOD ENGINEERING

Pornographic images recognition based on spatial pyramid partition and multi-instance ensemble learning

(2015) Daxiang Li et al.   KNOWLEDGE-BASED SYSTEMS

Discriminating Drying Method of Tarhana Using Computer Vision

(2014) F. Kurtulmuş et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Automated steel bridge coating rust defect recognition method based on color and texture feature

(2013) Heng-Kuang Shen et al.   AUTOMATION IN CONSTRUCTION

Application of random forests to select premium quality vegetable oils by their fatty acid composition

(2013) Fang-fang Ai et al.   FOOD CHEMISTRY

Classification of dry-cured hams according to the maturation time using near infrared spectra and artificial neural networks

(2013) M. Prevolnik et al.   MEAT SCIENCE

Image classification using spatial pyramid robust sparse coding

(2013) Chunjie Zhang et al.   PATTERN RECOGNITION LETTERS

Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis

(2012) Olga S. Papadopoulou et al.   FOOD RESEARCH INTERNATIONAL

Effects of seeding rate, nitrogen rate and cultivar on barley malt quality

(2012) Michael J Edney et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar

(2012) Miao Liu et al.   SENSORS AND ACTUATORS B-CHEMICAL

Prediction of compositional and sensory characteristics using RGB digital images and multivariate calibration techniques

(2011) Giorgia Foca et al.   ANALYTICA CHIMICA ACTA

Prediction of total viable counts on chilled pork using an electronic nose combined with support vector machine

(2011) Danfeng Wang et al.   MEAT SCIENCE

Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image

(2008) P.S. Hiremath et al.   PATTERN RECOGNITION LETTERS