Work

Enhancing Rice Disease Detection with K-Means Segmentation and Comparison of EfficientNetB0, ResNet50, and Xception

Year: 2024

Type: conference-paper

Source: International Conference on Information Technology Research and Innovation (ICITRI)

DOI: 10.1109/icitri62858.2024.10699083

Authors: Fajar Sarasati, Candra Agustina, Widi Astuti, Tri Wahyudi, Eva Argarini Pratama

Institutions: Universitas Nusa Mandiri, Universitas Bina Sarana Informatika

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

Open Access status: closed

OpenAlex ID: W4403060193

FWCI: 3.025

Cites: 15

Cited by: 4

Related to: 10