Optimization of a Vision-Based Lettuce Growth Stage Classification using Genetic Algorithm-Reference-Cited by-同舟云学术

Optimization of a Vision-Based Lettuce Growth Stage Classification using Genetic Algorithm

Published:2022-12-01 Issue: Volume: Page:
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Container-title:2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Valencia Immanuel Jose C.¹,Vicerra Ryan Rhay P.¹,Dadios Elmer P.¹,Sybingco Edwin²,Fillone Alexis M.³,Billones Robert Kerwin C.¹

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Malate,Manila

2. De La Salle University,Department of Electronics and Computer Engineering,Malate,Manila

3. De La Salle University,Department of Civil Engineering,Malate,Manila

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10109352/10109274/10109428.pdf?arnumber=10109428

Reference24 articles.

1. Visual Classification of Lettuce Growth Stage based on Morphological Attributes using Unsupervised Machine Learning models

2. An improved K-nearest-neighbor algorithm using genetic algorithm for sentiment classification

3. Vision-based canopy area measurements;calangian;2018 IEEE 10th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management HNICEM 2018,2019

4. Using genetic algorithm to improve fuzzy k-NN;juan;Proceedings - 2008 International Conference on Computational Intelligence and Security CIS 2008,2008

5. Image-Based Macroscopic Classification of Aspergillus Fungi Species Using Convolutional Neural Networks

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