Machine learning techniques for non-destructive estimation of plum fruit weight
Abstract Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-intensive. In this study, we addressed the...
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Main Authors: | Atefeh Sabouri, Adel Bakhshipour, Mehrnaz Poorsalehi, Abouzar Abouzari |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-85051-2 |
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