Pomegranate Fruit Quality Assessment Using Machine Intelligence and Wavelet Features

Journal of Horticultural Research - Germany
doi 10.2478/johr-2018-0006
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Walter de Gruyter GmbH

Related search

Quality Detection of Pomegranate Fruit Infected With Fungal Disease

International Journal of Food Properties
Food Science
2020English

No-Reference JPEG Image Quality Assessment Using Haar Wavelet Decomposition

ECTI Transactions on Computer and Information Technology
Electronic EngineeringInformation SystemsComputer NetworksCommunicationsManagementElectrical
1970English

Pomegranate Fruit Diseases Identification and Grading

2017English

Development of Cultivated and Wild Pomegranate Mixed Fruit Jelly and Its Quality Evaluation During Storage

Journal of Applied and Natural Science
2017English

ECG Signals Classification Using Statistical and Wavelet Features

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2020English

Combining Low-Dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification

Scientific Reports
Multidisciplinary
2017English

Prostate Cancer Prevention Through Pomegranate Fruit

Cell Cycle
MedicineDevelopmental BiologyCell BiologyMolecular Biology
2006English

Studies on Fruiting and Fruit Quality Characteristics in Tissue Cultured Plants of Pomegranate Cv. Bhagwa

International Journal of Agricultural Science and Research
2017English

Motor Imagery Classification Using Wavelet-Based Features and Tensorflow

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy