RESEARCH JOURNAL OF FOOD SCIENCE AND NUTRITION
Integrity Research Journals

ISSN: 2536-7080
Model: Open Access/Peer Reviewed
DOI: 10.31248/RJFSN
Start Year: 2016
Email: rjfsn@integrityresjournals.org


ISSUE (Vol.2 (1) - April 30th, 2017)


Application Of Artificial Neural Network For Estimating The Qualitative Characteristics Of Cantaloupe Melon And Comparison With The Regression Model
In this paper, the quality characteristics of melon was estimated by using color parameters and neural networks for three fertilizing stages (no fertilizer, fertilizing 5 and 10 ton/ha). For this purpose, chemical parameters including fructose, glucose and sucrose, and color parameters such as L*, a*, b* were studied. Physical characteristics under study were... Continue here

Current Issue | RJFSN Articles | Archive