Smart crop disease monitoring system in IoT using optimization enabled deep residual network
Abstract The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categ...
Saved in:
Main Authors: | Ashish Saini, Nasib Singh Gill, Preeti Gulia, Anoop Kumar Tiwari, Priti Maratha, Mohd Asif Shah |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-85486-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review
by: Deepak, et al.
Published: (2024-01-01) -
One-Dimensional Deep Residual Network with Aggregated Transformations for Internet of Things (IoT)-Enabled Human Activity Recognition in an Uncontrolled Environment
by: Sakorn Mekruksavanich, et al.
Published: (2024-11-01) -
Securing the Future of Web-Enabled IoT: A Critical Analysis of Web of Things Security
by: Khalied M. Albarrak
Published: (2024-11-01) -
Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic
by: Mohd Javaid, et al.
Published: (2021-04-01) -
APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System
by: Safdar Hussain Javed, et al.
Published: (2023-01-01)