Work

Boundary Detection in Agricultural Fields Using a Residual U-Net++ Architecture

Year: 2024

Type: conference-paper

Source: International Symposium on Telecommunications

DOI: 10.1109/ist64061.2024.10843501

Authors: Mehdi Alizadeh, Parvin Ahmadi, Masoumeh Azimzadeh

Institution: ICT Research Institute

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4406658833

FWCI: 1.475

Cites: 11

Cited by: 2

Related to: 10