Predicting Maturity of Coconut Fruit from Acoustic Signal with Applications of Deep Learning

This paper aims to develop an effective AI-driven method to predict the maturity level of coconut (<i>Cocos nucifera</i>) fruits using acoustic signals. The proposed sound-based autonomous approach exploits various deep learning models, including customized CNN pretrained networks, i.e.,...

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Bibliographic Details
Published in:	Biology and Life Sciences Forum
Main Author:	Farook Sattar
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	coconut fruit maturity levels fruit quality deep learning artificial intelligence acoustic signals
Online Access:	https://www.mdpi.com/2673-9976/30/1/16

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