TY  - JOUR 
AU  - Ruiz González, Rubén
AU  - Nascimento, Antonia Maiara Marques do
AU  - Santos, Marcos Bruno da Costa
AU  - Porto, Rutten Kécio Soares de Brito
AU  - Medeiros, Artur Mendes
AU  - Santos, Fábio Sandro dos
AU  - Martínez-Martínez, Víctor
AU  - Barroso, Priscila Alves
PY  - 2024
SN  - 0941-0643
UR  - http://hdl.handle.net/10259/9759
AB  - Being capable of accurately predicting morphological parameters of the plant weeks before achieving fruit maturation is of great importance in the production and selection of suitable ornamental pepper plants. The objective of this article is...
LA  - eng
PB  - Springer
KW  - Image-based temporal prediction
KW  - Morphological parameters
KW  - Ornamental potential
KW  - Precision agriculture
KW  - Solanaceae
KW  - Thermal stress
KW  - Redes neuronales artificiales
KW  - Neural networks (Computer science)
KW  - Agricultura
KW  - Agriculture
TI  - Temporal forecasting of plant height and canopy diameter from RGB images using a CNN-based regression model for ornamental pepper plants (Capsicum spp.) growing under high-temperature stress
DO  - 10.1007/s00521-024-10502-w
T2  - Neural Computing and Applications
ER  -