Detection of Different Crop Growth Stages by Applying Deep Learning Over Sentinel-2 Images of Bahía, Brazil
This study delves into the agricultural landscape of Bahia, Brazil, employing the Mask R-CNN deep learning model with satellite imagery to detect three crop growth stages (early, mid-growth and maturity stage). This model is suited to the region’s complex terrain and diverse crop patterns, providing...
- Autores:
-
Camacho-De Angulo, Yineth Viviana
Arrechea-Castillo, Darwin Alexis
Cantero-Mosquera, Yessica Carolina
Solano-Correa, Yady Tatiana
Roisenberg, Mauro
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12733
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12733
- Palabra clave:
- Crops Growth
Deep Learning
Image Instance Segmentation
Remote Sensing
Mask R-CNN
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb