Determination of Tomato Fruit Stages Using Principal Component Analysis and Fuzzy Logic Algorithm
Author:
Affiliation:
1. School of Electrical, Electronics, and Computer Engineering Mapua University,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9936688/9936734/09936870.pdf?arnumber=9936870
Reference16 articles.
1. Electronic Nose (E-Nose)
2. Using machine learning techniques for evaluating tomato ripeness
3. Determination of Adulteration in Philippine Coconut Wine using Principal Component Analysis and Soft Independent Modelling of Class Analogy
4. Quality Classification of Chili Sauce Using Electronic Nose with Principal Component Analysis
5. Application of Electronic Nose for Diagnosing Azotemia from Urinalysis Using Principal Component Analysis
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