Determination of the Ripeness State of Guavas Using an Artificial Neural Network-Reference-Cited by-同舟云学术

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Determination of the Ripeness State of Guavas Using an Artificial Neural Network

Published:2016-12-31 Issue:1 Volume:121 Page:105-111
ISSN:1870-4069
Container-title:Research in Computing Science
language:
Short-container-title:RCS

Author:

Lara-Espinoza Edwin M.,Trejo-Duran Monica,Lizarraga-Morales Rocio A.,Cabal-Yepez Eduardo,Saldana-Robles Noe

Publisher

Instituto Politecnico Nacional/Centro de Investigacion en Computacion

Subject

General Engineering

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1. FruitVision: A deep learning based automatic fruit grading system;Open Agriculture;2024-01-01

2. Highly Efficient Machine Learning Approach for Automatic Disease and Color Classification of Olive Fruits;IEEE Access;2024

3. Identification of Banana Ripeness using Convolutional Neural Network Approaches;2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA);2023-10-04

4. DeRiBa-Fuz: Detection of Ripening Banana Using Fuzzy Logic with RGB and GLCM Extraction;2022 International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS);2022-11-23

5. Pre-trained deep learning-based classification of jujube fruits according to their maturity level;Neural Computing and Applications;2022-04-18

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