Usage of few-shot learning and meta-learning in agriculture: A literature review

This paper examines the potential of using few-shot learning and computer vision techniques for detecting, identifying, and counting agricultural pests and diseases in images. A systematic review of papers published between 2020 and 2022 was conducted to evaluate the applications and results across...

ver descrição completa

Detalhes bibliográficos

Principais autores:	João Vitor de Andrade Porto, Arlinda Cantero Dorsa, Vanessa Aparecida de Moraes Weber, Karla Rejane de Andrade Porto, Hemerson Pistori
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-10-01
Colecção:	Smart Agricultural Technology
Assuntos:	Few-shot learning Pest Insect Plant Agriculture Meta-learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772375523001363
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!