Event submissions
Published
This submission belongs to the session S6. Artificial Intelligence for Advanced Analyses in Agriculture; of the event 2nd International Online Conference on Agriculture
Published date
11 Mar, 2024
Academic Editor
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Francesco MarinelloCitation
Farook Sattar, Predicting maturity of coconut fruit from acoustic signal with applications of deep learning, in Proceedings of 2nd International Online Conference on Agriculture, 1 November–15 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/IOCAG2023-16880
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Predicting maturity of coconut fruit from acoustic signal with applications of deep learning
Farook Sattar 1
1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
Abstract
Keywords
Coconut fruit
Maturity levels
Fruit quality
Deep learning
Artificial intelligence
Acoustic signals
Prediction
Manuscript
IOCAG2023_paper_mpdi_revised_new.pdf
Oral Presentation
IOCAG2023_presentation_slides_Farook_Sattar.pptx