Framework for deep learning diagnosis of plant disorders in horticultural crops: From data collection tools to user-friendly web and mobile apps

Food security is a pressing global concern, particularly highlighted by the United Nations Sustainable Development Goal 2 (SDG 2), which focuses on enhancing the productivity and incomes of smallholder farmers. In the Middle East and North Africa (MENA) region, horticultural crops are increasingly t...

Full description

Autores:

Buchaillot, Ma. Luisa
Fernandez-Gallego, Jose A
Mahmoudi, Henda
Thushar, Sumitha
Aljanaahi, Amna Abdulnoor
Kosimov, Sherzod
Hammami, Zied
Al Jabri, Ghazi
Puente, Alexandra La Cruz
Akl, Alexi
Trillas, M. Isabel
Araus, Jose Luis
Kefauver, Shawn C.

Tipo de recurso:

Article of investigation

Fecha de publicación:

2024

Institución:

Universidad de Ibagué

Repositorio:

Repositorio Universidad de Ibagué

Idioma:

eng

OAI Identifier:

oai:repositorio.unibague.edu.co:20.500.12313/6056

Acceso en línea:

https://hdl.handle.net/20.500.12313/6056
https://sciencedirect.unibague.elogim.com/science/article/pii/S1574954124004424

Palabra clave:

Cultivos hortículas - Trastornos
Data collection
Deep learning
Horticultural crops
MENA
Mobile app
SDG 17
SDG 2

Rights

openAccess

License

© 2024 The Authors