On line detection of defective apples using computer vision system combined with deep learning methods

Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview

(2019) Gamal ElMasry et al.   SENSORS

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Detection of early decay in peaches by structured-illumination reflectance imaging

(2019) Ye Sun et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method

(2019) Shuxiang Fan et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Application of Deep Learning in Food: A Review

(2019) Lei Zhou et al.   COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Diverse Region-Based CNN for Hyperspectral Image Classification

(2018) Mengmeng Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Blueberry bruise detection by pulsed thermographic imaging

(2018) Jesse Kuzy et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data

(2018) et al.   SENSORS

Aerial Images and Convolutional Neural Network for Cotton Bloom Detection

(2018) Rui Xu et al.   Frontiers in Plant Science

Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review

(2018) Baohua Zhang et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection

(2018) Shuxiang Fan et al.   SENSORS

Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy

(2018) Chao Ni et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Early detection of decay on apples using hyperspectral reflectance imaging combining both principal component analysis and improved watershed segmentation method

(2018) Jiangbo Li et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Automatic detection of defective apples using NIR coded structured light and fast lightness correction

(2017) Chi Zhang et al.   JOURNAL OF FOOD ENGINEERING

Glare based apple sorting and iterative algorithm for bruise region detection using shortwave infrared hyperspectral imaging

(2017) Janos C. Keresztes et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths

(2017) Shuxiang Fan et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging

(2016) Jiangbo Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Real-time pixel based early apple bruise detection using short wave infrared hyperspectral imaging in combination with calibration and glare correction techniques

(2016) Janos C. Keresztes et al.   FOOD CONTROL

Structured-illumination reflectance imaging (SIRI) for enhanced detection of fresh bruises in apples

(2016) Yuzhen Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging

(2015) Yu Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Development of a multispectral imaging system for online detection of bruises on apples

(2015) Wenqian Huang et al.   JOURNAL OF FOOD ENGINEERING

Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

(2015) Baohua Zhang et al.   JOURNAL OF FOOD ENGINEERING

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

(2014) Baohua Zhang et al.   FOOD RESEARCH INTERNATIONAL

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

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

An image segmentation method for apple sorting and grading using support vector machine and Otsu’s method

(2013) Akira Mizushima et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay

(2013) J. Gómez-Sanchis et al.   Food and Bioprocess Technology

Development of a two-band spectral imaging system for real-time citrus canker detection

(2011) Jianwei Qin et al.   JOURNAL OF FOOD ENGINEERING

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

(2007) J. Gómez-Sanchis et al.   JOURNAL OF FOOD ENGINEERING