标题
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
作者
关键词
-
出版物
EUROPEAN FOOD RESEARCH AND TECHNOLOGY
Volume 249, Issue 5, Pages 1343-1350
出版商
Springer Science and Business Media LLC
发表日期
2023-02-16
DOI
10.1007/s00217-023-04217-w
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern
- (2022) Mehdi Jamei et al. AGRICULTURAL WATER MANAGEMENT
- Forecasting monthly gas field production based on the CNN-LSTM model
- (2022) Wenshu Zha et al. ENERGY
- A Comprehensive Review on Chickpea (Cicer arietinum L.) Breeding for Abiotic Stress Tolerance and Climate Change Resilience
- (2022) Osvin Arriagada et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
- (2022) Bhamidipati Kishore et al. Computational Intelligence and Neuroscience
- Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
- (2022) Yanhui Liang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Cloud Contaminated Multispectral Remote Sensing Image Enhancement Algorithm Based on MobileNet
- (2022) Xuemei Li et al. Remote Sensing
- A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction
- (2022) Chunlei Ji et al. ENVIRONMENTAL RESEARCH
- Technological, processing and nutritional aspects of chickpea (Cicer arietinum) - A review
- (2021) Ravneet Kaur et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Computer-vision classification of corn seed varieties using deep convolutional neural network
- (2021) Shima Javanmardi et al. JOURNAL OF STORED PRODUCTS RESEARCH
- 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
- Optimization, identification, and comparison of peptides from germinated chickpea (Cicer arietinum) protein hydrolysates using either papain or ficin and their relationship with markers of type 2 diabetes
- (2021) Subhiksha Chandrasekaran et al. FOOD CHEMISTRY
- A-MobileNet: An approach of facial expression recognition
- (2021) Yahui Nan et al. Alexandria Engineering Journal
- Comparative Study of Growth, Cadmium Accumulation and Tolerance of Three Chickpea (Cicer arietinum L.) Cultivars
- (2020) Shakir Ullah et al. Plants-Basel
- Identification of sunflower seeds with deep convolutional neural networks
- (2020) Ferhat Kurtulmuş Journal of Food Measurement and Characterization
- 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
- Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture
- (2019) Abhishek Khanna et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Compressive spectral imaging system for soil classification with three-dimensional convolutional neural network
- (2019) Yue Yu et al. OPTICS EXPRESS
- Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network
- (2018) Zhengjun Qiu et al. Applied Sciences-Basel
- Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
- (2018) Diego Inácio Patrício et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic inspection machine for maize kernels based on deep convolutional neural networks
- (2018) Chao Ni et al. BIOSYSTEMS ENGINEERING
- Efficient technique for rice grain classification using back-propagation neural network and wavelet decomposition
- (2016) Ksh. Robert Singh et al. IET Computer Vision
- Automatic corn (Zea mays) kernel inspection system using novelty detection based on principal component analysis
- (2013) José M. Valiente-González et al. BIOSYSTEMS ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More