A real time monitoring system for accurate plant leaves disease detection using deep learning
Accurate and timely detection of plant diseases is crucial for sustainable agriculture and food security. This research presents a real-time monitoring system utilizing deep learning techniques to detect diseases in plant leaves with high accuracy. We combined several plant datasets, including the P...
Saved in:
Main Authors: | Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Crop Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772899424000417 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos
by: Shadi Jaradat, et al.
Published: (2025-01-01) -
Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network
by: Quantong ZHANG, et al.
Published: (2025-02-01) -
Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography
by: Bo Zhao, et al.
Published: (2025-01-01) -
Deep learning for object recognition: A comprehensive review of models and algorithms
by: Paschalis Tsirtsakis, et al.
Published: (2025-12-01) -
Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities
by: Guanci Yang, et al.
Published: (2023-03-01)