Work

Computational Efficiency in Precision Agriculture: MobileNetV2 Outperforms State-of-the-Art CNNs for Real-Time Plant Disease Detection

Year: 2025

Type: conference-paper

Source: International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

DOI: 10.1109/iraset64571.2025.11008267

Authors: Tarik Idrissi, Abdessamad El Rharras, Rachid Saadane

Institution: Hassania School of Public Works

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W4410738326

FWCI: 2.315

Cites: 13

Cited by: 1

Related to: 10