Computer Vision-Based Non-invasive Sweetness Assessment of Mangifera Indica L. Fruit Using K-means Clustering and CNN-Reference-Cited by-同舟云学术

Computer Vision-Based Non-invasive Sweetness Assessment of Mangifera Indica L. Fruit Using K-means Clustering and CNN

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Computer and Automation Engineering (ICCAE)
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Author:

Yumang Analyn N.¹,Francia Luvelin Anne G.¹,Romero Ryan Jowell L.¹

Affiliation:

1. Mapúa University,School of EECE,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111091/10111098/10111250.pdf?arnumber=10111250

Reference23 articles.

1. Determination of Sweetness of Intact Mango using Visual Spectral Analysis

2. Determination of Chokanan mango sweetness (Mangifera indica) using non-destructive image processing technique;bejo;Australian Journal of Crop Science,2014

3. Determination ofShelled Corn Damages using Colored Image Edge Detection with Convolutional Neural Network;yumang;2020 IEEE 12th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM),2020

4. Portable Yellow Spot Disease Identifier on Sugarcane Leaf via Image Processing Using Support Vector Machine

5. Philippine Mango Industry Roadmap 2017-2022;piñol,2018

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