Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

For a fast and accurate evaluation of the values of damaged fragrant pears, a prediction method of the damage degree of Korla fragrant pears was proposed. To study variation laws of damages of fragrant pears under different volumes of squeezing deformation, the partial least squares regression (PLSR...

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Bibliographic Details
Main Authors: Shiyuan Li, Yang Liu, Xiyue Niu, Yurong Tang, Haipeng Lan, Yong Zeng
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Agronomy
Subjects:
Korla fragrant pears
damage degree
neural network
prediction model
Online Access:https://www.mdpi.com/2073-4395/13/7/1670

Internet

https://www.mdpi.com/2073-4395/13/7/1670

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