- Home
- Publications
- Publication Search
- Publication Details
Title
Benchmarking analysis of CNN models for bread wheat varieties
Authors
Keywords
-
Journal
EUROPEAN FOOD RESEARCH AND TECHNOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-11-17
DOI
10.1007/s00217-022-04172-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Research on Maize Seed Classification and Recognition Based on Machine Vision and Deep Learning
- (2022) Peng Xu et al. Agriculture-Basel
- Benchmarking analysis of CNN models for pits of sour cherry cultivars
- (2022) Kadir Sabanci et al. EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
- (2022) Yavuz Selim Taspinar et al. EUROPEAN FOOD RESEARCH AND TECHNOLOGY
- Classification of seven Iranian wheat varieties using texture features
- (2022) Mostafa Khojastehnazhand et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of Pre-Trained Deep Convolutional Neural Networks for Coffee Beans Species Detection
- (2022) Yavuz Unal et al. Food Analytical Methods
- Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
- (2022) Bhamidipati Kishore et al. Computational Intelligence and Neuroscience
- A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review
- (2022) Raj Kumar et al. Journal of Sensors
- Development of Deep Learning Methodology for Maize Seed Variety Recognition Based on Improved Swin Transformer
- (2022) Chunguang Bi et al. Agronomy-Basel
- Hybrid convolutional network based on hyperspectral imaging for wheat seed varieties classification
- (2022) Xin Zhao et al. INFRARED PHYSICS & TECHNOLOGY
- Classification of rice varieties with deep learning methods
- (2021) Murat Koklu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A Cloud-Based Platform for Soybean Plant Disease Classification Using Archimedes Optimization Based Hybrid Deep Learning Model
- (2021) J. Annrose et al. WIRELESS PERSONAL COMMUNICATIONS
- A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models
- (2021) Saba Saleem et al. Complex & Intelligent Systems
- ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18
- (2021) Zhao Chen et al. BRIEFINGS IN BIOINFORMATICS
- A convolutional neural network ‐based comparative study for pepper seed classification: Analysis of selected deep features with support vector machine
- (2021) Kadir Sabanci et al. JOURNAL OF FOOD PROCESS ENGINEERING
- A CNN-SVM study based on selected deep features for grapevine leaves classification
- (2021) Murat Koklu et al. MEASUREMENT
- A Review of Convolutional Neural Network Applied to Fruit Image Processing
- (2020) José Naranjo-Torres et al. Applied Sciences-Basel
- Bread and durum wheat classification using wavelet based image fusion
- (2020) Kadir Sabanci et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
- (2020) Muhammet Fatih Aslan et al. APPLIED SOFT COMPUTING
- A Convolution Neural Network-Based Seed Classification System
- (2020) Yonis Gulzar et al. Symmetry-Basel
- Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
- (2019) Ali Yasar et al. JOURNAL OF MEDICAL SYSTEMS
- Towards a real-time sorting system: Identification of vitreous durum wheat kernels using ANN based on their morphological, colour, wavelet and gaborlet features
- (2019) Esra Kaya et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics
- (2019) Yidan Bao et al. Applied Sciences-Basel
- 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
- Discrimination of European wheat varieties using near infrared reflectance spectroscopy
- (2007) Carlos Miralbés FOOD CHEMISTRY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now