Classifying date fruits using the transfer learning model

QR Code

Classifying date fruits using the transfer learning model

Date palm trees originate in many tropical regions of the world and produce dates. Each variety can be differentiated through the shape, texture, size, and colour of the fruits. People have difficulties visualising and recognising the types of date fruits because they have many varieties and species...

Full description

Bibliographic Details
Main Authors:	Mohd Adnan, Alia Nadzirah, Nasharuddin, Nurul Amelina
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/113070/ http://psasir.upm.edu.my/id/eprint/113070/1/113070.pdf

Similar Items

An efficientnet to classify monkeypox-comparable skin lesions using transfer learning
by: Hossen, Md Rifat, et al.
Published: (2023)

Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations
by: Muhammad Amirul, Abdullah
Published: (2022)

Poor transferability of machine learning classification models: classifying vegetation on palsa complexes in Arctic Sweden
by: Dancer, Holly
Published: (2024)

Non-parametric machine learning for pollinator image classification: a comparative study
by: Nasharuddin, Nurul Amelina, et al.
Published: (2024)

The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Defending Malicious Script Attacks Using Machine Learning Classifiers
by: Nayeem, Khan, et al.
Published: (2017)

Multi-feature vegetable recognition using machine learning approach on leaf images
by: Nasharuddin, Nurul Amelina, et al.
Published: (2019)

Regulation of fruit development by pollen in the Omani date palm
by: Dietz, Toni Herbert
Published: (1998)

Total phenolic content and antioxidant activities of date fruit extracts
by: Noorul Syuhada Mohd Razali,, et al.
Published: (2019)

Fruits recognition based on texture features and K-Nearest Neighbor
by: Kamal Ariffin, Nur Izzani, et al.
Published: (2018)

Keras Implementation in Detecting Intracranial Hemorrhage and Multiclass Classification of Subtypes via Transfer Learning and Classifiers Selection
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2024)

Agarwood Oil Quality Classifier Using Machine Learning
by: M. A., Abas, et al.
Published: (2017)

Applications of date (Phoenix dactylifera L.) fruits as bioactive ingredients in functional foods
by: Hamid, Azizah, et al.
Published: (2018)

Knee osteoarthritis grading using deep learning classifier
by: Ng, Jevyline
Published: (2024)

Aflatoxins in dates and dates products
by: Iqbal, Shahzad Zafar, et al.
Published: (2014)

Dried Fruit Jams (Dates and Raisins) / Siti Nur Atiqah Sukri
by: Siti Nur Atiqah, Sukri
Published: (2020)

Date seed and date seed oil
by: Mohd Jaih, Abdul Afiq, et al.
Published: (2013)

Factors contributing to collaborative Game-Based Learning (CGBL) effectiveness
by: Amran, Aryanti, et al.
Published: (2021)

Oil palm maturity classifier using spectrometer and machine learning
by: Goh, Jia Quan
Published: (2021)

Functional food and nutra-pharmaceutical perspectives of date (Phoenix dactylifera L.) fruit
by: Younas, Atia, et al.
Published: (2020)

Cross-lingual Information Retrieval State-of-the-Art
by: Nasharuddin, Nurul Amelina, et al.
Published: (2010)

Dynamic ransomware detection for windows platform using machine learning classifiers
by: Jaya, M. Izham, et al.
Published: (2022)

Comparative analysis of machine learning classifiers for phishing detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2022)

A faster learning neural network classifier using selective backpropagation
by: Craven, Michael P.
Published: (1997)

Date Palms In The Quran: The Descriptions
by: Zainan Nazri, Mohd Khairul Nizam, et al.
Published: (2016)

Chemical composition and antioxidant activity of date palm Fruit (Phoenix dactylifera) in Saudi Arabia
by: Abdoh, Yousef
Published: (2018)

Interactive online learning support: Progress on research to date
by: Quinton, Stephen
Published: (2007)

Multi-agent classifier system based on heterogeneous classifier
by: Nur Afiqah, Mohd Dali
Published: (2018)

Exploring the meaning of using VOD (video on demand) Didik TV as a video repository system for PDP (teaching and learning): a need analysis study
by: Mohd Rokhani, Zaiemilia, et al.
Published: (2024)

Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
by: Lysiak, R., et al.
Published: (2014)

Gait identification using one-vs-one classifier model
by: Abdul Raziff, Abdul Rafiez, et al.
Published: (2016)

A malicious URLs detection system using optimization and machine learning classifiers
by: Lee, Ong Vienna, et al.
Published: (2020)

Machine learning classifiers: Evaluation of the performance in online reviews
by: Pak, Irina *, et al.
Published: (2016)

Evaluation of the machine learning classifier in wafer defects classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021)

Physiological signals as predictors of mental workload: Evaluating single classifier and ensemble learning models
by: Nailul, Izzah, et al.
Published: (2023)

Exploring the dating of “dirty” speleothems and cave sinters using radiocarbon dating of preserved organic matter
by: Blyth, Alison, et al.
Published: (2017)

Multiliteracies project approach: dated or a worthy learning tool?
by: Fariza Puteh-Behak,, et al.
Published: (2018)

Metabolomics profiling and antimicrobial activity of fermented date fruit Khastawi used as functional ingredients for making Asian confectionary dodol
by: Muhialdin, Belal J., et al.
Published: (2021)

Modelling And Simulation Of Air Classifier Cement Manufacturing
by: Ishak, Ku Esyra Hani Binti
Published: (2014)

A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
by: Hambali, Hamirul'aini
Published: (2015)