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: | Kutyrev Alexey, Andriyanov Nikita |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/23/e3sconf_abr2024_01006.pdf |
Similar Items
-
Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction
by: Nikita Andriyanov
Published: (2021-06-01) -
Development of Apple Detection System and Reinforcement Learning for Apple Manipulator
by: Nikita Andriyanov
Published: (2023-02-01) -
Human Activity Recognition Based on Multichannel Convolutional Neural Network With Data Augmentation
by: Wenbing Shi, et al.
Published: (2022-01-01) -
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
by: Qian Yan, et al.
Published: (2020-06-01) -
Apple Disease Recognition Based on Convolutional Neural Networks With Modified Softmax
by: Ping Li, et al.
Published: (2022-05-01)