Deep Learning-Based Damage Assessment in Cherry Leaves
This study aims to utilize deep learning methods for detecting diseases in cherry leaves to enhance agricultural productivity. While the detection of leaf diseases is currently performed by expert personnel, there may be a shortage of such experts, and the process can be time-consuming. Therefore, t...
Saved in:
Main Authors: | Burakhan Cubukcu, Hazel BOZCU |
---|---|
Format: | Article |
Language: | English |
Published: |
Bursa Technical University
2024-12-01
|
Series: | Journal of Innovative Science and Engineering |
Subjects: | |
Online Access: | http://jise.btu.edu.tr/en/download/article-file/3808310 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
by: Haohan Ding, et al.
Published: (2025-01-01) -
A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups
by: A. Jayanth Balaji, et al.
Published: (2025-01-01) -
Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models
by: Syed Mohsin Bokhari, et al.
Published: (2025-01-01) -
A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL
by: LAWRENCE O. OMOTOSHO, et al.
Published: (2021-10-01) -
Intelligent Intrusion Detection System Against Various Attacks Based on a Hybrid Deep Learning Algorithm
by: Bambang Susilo, et al.
Published: (2025-01-01)