Work

Enhancing Sugarcane Disease Diagnosis: UNET Architecture for Red Rot Identification

Year: 2025

Type: conference-paper

Source: International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

DOI: 10.1109/cictn64563.2025.10932618

Authors: Arvind Kumar, Jitendra Singh, Rohit Sharma

Institutions: SRM Institute of Science and Technology, ABES Engineering College

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: W4408861884

FWCI: 2.315

Cites: 18

Cited by: 1

Related to: 10