Vision-Based Chlorophyll-a Measurement for Iceberg Lettuce Using Levenberg-Marquardt-Optimized Shallow Neural Network-Reference-Cited by-同舟云学术

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Vision-Based Chlorophyll-a Measurement for Iceberg Lettuce Using Levenberg-Marquardt-Optimized Shallow Neural Network

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
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Author:

Velasquez Anthony Li John T.¹,Canlas Joshua Rapha A.²,Villanueva Gabriel Luis S.²,Valenzuela Ira¹,Olan Arabella Missey B.²,Concepcion II Ronnie S.¹,Calata Renee Ashley P.²,Moron Llewelyn S.³

Affiliation:

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

2. Senior High Integrated School, De La Salle University Malate,Manila,Philippines

3. De La Salle University,Department of Biology,Malate,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322307/10322308/10322332.pdf?arnumber=10322332

Reference29 articles.

1. Artificial Neural Networks in Agriculture

2. Feature Extraction and Image Recognition with Convolutional Neural Networks

3. Towards a machine vision-based yield monitor for the counting and quality mapping of shallots;jacques;FRONTIERS,0

4. A new smart healthcare framework for real-time heart disease detection based on deep and machine learning

5. Computer vision applied to food and agricultural products

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