Defect Classification of Green Plums Based on Deep Learning

Computer vision based detection of external defects on tomatoes using deep learning

(2020) Arthur Z. da Costa et al.   BIOSYSTEMS ENGINEERING

An experimental study of stunned state detection for broiler chickens using an improved convolution neural network algorithm

(2020) Chang-wen Ye et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Learning Discriminative Features Via Weights-biased Softmax Loss

(2020) XiaoBin Li et al.   PATTERN RECOGNITION

A Review of Convolutional Neural Network Applied to Fruit Image Processing

(2020) José Naranjo-Torres et al.   Applied Sciences-Basel

Prediction of Soluble Solids Content in Green Plum by Using a Sparse Autoencoder

(2020) Luxiang Shen et al.   Applied Sciences-Basel

A three-stage framework for smoky vehicle detection in traffic surveillance videos

(2020) Huanjie Tao et al.   INFORMATION SCIENCES

Detection of common defects on mandarins by using visible and near infrared hyperspectral imaging

(2020) Hailiang Zhang et al.   INFRARED PHYSICS & TECHNOLOGY

Detection and Characterization of Cherries: A Deep Learning Usability Case Study in Chile

(2020) Juan Fernando Villacrés et al.   Agronomy-Basel

An improved model training method for residual convolutional neural networks in deep learning

(2020) Xuelei Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep and wide feature based extreme learning machine for image classification

(2020) Yuanyuan Qing et al.   NEUROCOMPUTING

A Study of Defect Detection Techniques for Metallographic Images

(2020) Wei-Hung Wu et al.   SENSORS

Objective measures of greengage wine quality: From taste-active compound and aroma-active compound to sensory profiles

(2020) Tiantian Tian et al.   FOOD CHEMISTRY

Greengage grading using stochastic configuration networks and a semi-supervised feedback mechanism

(2019) Weitao Li et al.   INFORMATION SCIENCES

Image-based deep learning automated sorting of date fruit

(2019) Amin Nasiri 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

Computer vision based analysis and detection of defects in fruits causes due to nutrients deficiency

(2019) Yogesh et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Faster R-CNN for multi-class fruit detection using a robotic vision system

(2019) Shaohua Wan et al.   Computer Networks

Automatic Detection and Grading of Multiple Fruits by Machine Learning

(2019) Anuja Bhargava et al.   Food Analytical Methods

Influence of different carbohydrate sources on physicochemical properties and metabolites of fermented greengage (Prunus mume) wines

(2019) Xueyuan Han et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Detection of internal defect of apples by a multichannel Vis/NIR spectroscopic system

(2019) Yuping Huang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks

(2019) Ahmad Jahanbakhshi et al.   SCIENTIA HORTICULTURAE

Assessment of tomato soluble solids content and pH by spatially-resolved and conventional Vis/NIR spectroscopy

(2018) Yuping Huang et al.   JOURNAL OF FOOD ENGINEERING

Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy

(2018) Yuping Huang et al.   JOURNAL OF FOOD ENGINEERING

New effective techniques for automatic detection and classification of external olive fruits defects based on image processing techniques

(2018) Nashat M. Hussain Hassan et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique

(2018) Shui-Hua Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

(2017) Yu-Dong Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

(2009) J. Blasco et al.   BIOSYSTEMS ENGINEERING