Rating pome fruit quality traits using deep learning and image processing

Rating pome fruit quality traits using deep learning and image processing

Abstract Quality assessment of pome fruits (i.e. apples and pears) is used not only for determining the optimal harvest time but also for the progression of fruit‐quality attributes during storage. Therefore, it is typical to repeatedly evaluate fruits during the course of a postharvest experiment....

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Bibliographic Details
Main Authors: Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Plant Direct
Subjects:
machine learning
pome fruit
trait prediction
Online Access:https://doi.org/10.1002/pld3.70005
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