Development of a Non-Destructive Fruit Quality Predictor Using Convolutional Neural Network Regression Model on Raspberry Pi

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Development of a Non-Destructive Fruit Quality Predictor Using Convolutional Neural Network Regression Model on Raspberry Pi

The rapid progress in agriculture continually increases the demand for high-quality fruits. However, the quality of the fruits was usually assessed by a destructive method that normally led to a concern that this traditional approach is time-consuming and prone to human mistakes. To address these pr...

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Bibliographic Details
Published in:	2022 2nd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2022
Main Author:	Mazni I.A.; Setumin S.; Sunak Joseph A.A.; Khusairi Osman M.; Osman M.S.; Subri Tahir M.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142453203&doi=10.1109%2feSmarTA56775.2022.9935374&partnerID=40&md5=53ece948982f8d47cdc52f5cdeed9c9d

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