Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference21 articles.
1. Categorization of watermelon maturity level based on rind features;Ahmad Syazwan;Procedia Eng.,2012
2. Spatial accumulation pattern of citrulline and other nutrients in immature and mature watermelon fruits;Akashi;J. Sci. Food Agric.,2017
3. Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review;Arendse;J. Food Eng.,2018
4. Watermelon consumption increases plasma arginine concentrations in adults;Collins;Nutrition,2007
5. Entropy based fuzzy classification of images on quality assessment;De;J. King Saud University - Computer and Information Sciences,2012
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