Work

Empowering few-shot plant disease diagnosis with DeiT and MAML++

Year: 2025

Type: article

Source: Cluster Computing

DOI: 10.1007/s10586-025-05810-2

Authors: Metehan Günde, Fesih Keskin, Gültekin Işık

Institution: Iğdır Üniversitesi

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: W4416117412

FWCI: 3.46

Cites: 27

Cited by: 8

Related to: 10