2022
DOI: 10.1007/s11042-022-13775-2
|View full text |Cite
|
Sign up to set email alerts
|

Optimized deep learning system for smart maize leaf disease detection in IoT platform via routing algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…Zhang et al [10] made a substantial contribution by introducing improved deep convolution neural networks for the identification of maize leaf diseases. Gunisetti et al [11] investigated the integration of IoT and AI in current agricultural practices, proposing an optimized DL system for smart maize leaf disease detection on IoT platforms via a routing algorithm.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Zhang et al [10] made a substantial contribution by introducing improved deep convolution neural networks for the identification of maize leaf diseases. Gunisetti et al [11] investigated the integration of IoT and AI in current agricultural practices, proposing an optimized DL system for smart maize leaf disease detection on IoT platforms via a routing algorithm.…”
Section: Literature Reviewmentioning
confidence: 99%