Apple Flower Recognition Using Convolutional Neural Networks with Transfer Learning and Data Augmentation Technique
Automated monitoring of apple flowers using convolutional neural networks will enable informed decision-making for planning thinning and fruit set operations, optimizing crop load, preventing fruiting periodicity, and enhancing crop quality. The article presents the results of apple flower recogniti...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/23/e3sconf_abr2024_01006.pdf |