Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques

Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets

(2019) João Nobre et al.   EXPERT SYSTEMS WITH APPLICATIONS

Random forest as one-class classifier and infrared spectroscopy for food adulteration detection

(2019) Felipe Bachion de Santana et al.   FOOD CHEMISTRY

Postharvest regulated deficit irrigation in early- and intermediate-maturing loquat trees

(2018) Carlos Ballester et al.   AGRICULTURAL WATER MANAGEMENT

Loquat Bruise Detection Using Optical Coherence Tomography Based on Microstructural Parameters

(2018) Yang Zhou et al.   Food Analytical Methods

From hyperspectral imaging to multispectral imaging: Portability and stability of HIS-MIS algorithms for common defect detection

(2018) Baohua Zhang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Pre-diabetes diagnosis based on ATR-FTIR spectroscopy combined with CART and XGBoots

(2018) Xinhao Yang et al.   OPTIK

Non-destructive Identifying Level of Browning Development in Button Mushroom (Agaricus bisporus) Using Hyperspectral Imaging Associated with Chemometrics

(2017) Kaveh Mollazade   Food Analytical Methods

Volatile metabolite profiling reveals the changes in the volatile compounds of new spontaneously generated loquat cultivars

(2017) C. Besada et al.   FOOD RESEARCH INTERNATIONAL

Discriminating hidden bruises in loquat by attenuation coefficients estimated from optical coherence tomography images

(2017) Yang Zhou et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Feasibility Study on Quantitative Pixel-Level Visualization of Internal Quality at Different Cross Sections Inside Postharvest Loquat Fruit

(2016) Nan Zhu et al.   Food Analytical Methods

Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

(2016) Ainara López-Maestresalas et al.   FOOD CONTROL

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica)

(2015) Baohua Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Ripening degree at harvest affects bruising susceptibility and fruit sensorial traits of loquat (Eriobotrya japonica Lindl.)

(2015) M.L. Cañete et al.   SCIENTIA HORTICULTURAE

Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

(2014) Nayeli Vélez Rivera et al.   BIOSYSTEMS ENGINEERING

Application of Visible and Near-Infrared Hyperspectral Imaging for Detection of Defective Features in Loquat

(2014) Ke-Qiang Yu et al.   Food and Bioprocess Technology

Hyperspectral near-infrared imaging for the detection of physical damages of pear

(2014) Wang-Hee Lee et al.   JOURNAL OF FOOD ENGINEERING

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

(2013) J. Gómez-Sanchis et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

(2011) D. Lorente et al.   Food and Bioprocess Technology

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Studies on banana fruit quality and maturity stages using hyperspectral imaging

(2011) P. Rajkumar et al.   JOURNAL OF FOOD ENGINEERING

Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables

(2010) Sergio Cubero et al.   Food and Bioprocess Technology

Purple spot in loquat (Eriobotrya japonica Lindl.) is associated to changes in flesh-rind water relations during fruit development

(2008) N. Gariglio et al.   SCIENTIA HORTICULTURAE