Machine learning techniques for non-destructive estimation of plum fruit weight

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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Bibliographic Details
Main Authors: Atefeh Sabouri, Adel Bakhshipour, Mehrnaz Poorsalehi, Abouzar Abouzari
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Image processing
Fruit dimensions
Regression models
Online Access:https://doi.org/10.1038/s41598-024-85051-2
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https://doi.org/10.1038/s41598-024-85051-2

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