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.,...
| Published in: | Biology and Life Sciences Forum |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9976/30/1/16 |