A Comparative Study of Deep Learning Frameworks Applied to Coffee Plant Detection from Close-Range UAS-RGB Imagery in Costa Rica

Introducing artificial intelligence techniques in agriculture offers new opportunities for improving crop management, such as in coffee plantations, which constitute a complex agroforestry environment. This paper presents a comparative study of three deep learning frameworks: Deep Forest, RT-DETR,...

Descripción completa

Detalles Bibliográficos

Autores principales:	Arriola-Valverde, Sergio, Rimolo-Donadio, Renato, Villagra-Mendoza, Karolina, Chacón-Rodriguez, Alfonso, García-Ramirez, Ronny, Somarriba, Eduardo
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	MDPI 2024
Materias:	Coffea||Coffea||Coffea||Coffea Agricultura de precisión||precision agriculture||agriculture de précision Manejo del cultivo||crop management||gestão da colheita||conduite de la culture Imágen por satélite||satellite imagery||imagem por satélite||imagerie par satellite Costa Rica||Costa Rica||Costa Rica||Costa Rica Sede Central ODS 9 - Industria, innovación e infraestructura
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/12711