A CNN-based lightweight ensemble model for detecting defective carrots

Recognition of Defective Carrots Based on Deep Learning and Transfer Learning

(2021) Weijun Xie et al.   Food and Bioprocess Technology

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

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

Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors

(2020) Wang et al.   SENSORS

Identification and recognition of rice diseases and pests using convolutional neural networks

(2020) Chowdhury R. Rahman et al.   BIOSYSTEMS ENGINEERING

Identifying carrot appearance quality by transfer learning

(2019) Hongfei Zhu et al.   JOURNAL OF FOOD PROCESS ENGINEERING

High pressure processing of carrot juice: effect of static and multi-pulsed pressure on the polyphenolic profile, oxidoreductases activity and colour

(2019) Justyna Szczepańska et al.   FOOD CHEMISTRY

Soft-shell Shrimp Recognition Based on an Improved AlexNet for Quality Evaluations

(2019) Zihao Liu   JOURNAL OF FOOD ENGINEERING

Deep learning in agriculture: A survey

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

Efficient kNN Classification With Different Numbers of Nearest Neighbors

(2018) Shichao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Using Deep Learning for Image-Based Potato Tuber Disease Detection

(2018) Dor Oppenheim et al.   PHYTOPATHOLOGY

Automatic inspection machine for maize kernels based on deep convolutional neural networks

(2018) Chao Ni et al.   BIOSYSTEMS ENGINEERING

G-MS2F: GoogLeNet based multi-stage feature fusion of deep CNN for scene recognition

(2017) Pengjie Tang et al.   NEUROCOMPUTING

Bayesian network classifiers based on Gaussian kernel density

(2016) Shuang-cheng Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Machine vision system for food grain quality evaluation: A review

(2016) P. Vithu et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Salient Object Detection via Random Forest

(2013) Shuze Du et al.   IEEE SIGNAL PROCESSING LETTERS

Multiclass and Binary SVM Classification: Implications for Training and Classification Users

(2008) A. Mathur et al.   IEEE Geoscience and Remote Sensing Letters