TY  - JOUR
AU  - Picon, Artzai
AU  - Bereciartua-Perez, Arantza
AU  - Eguskiza, Itziar
AU  - Romero-Rodriguez, Javier
AU  - Jimenez-Ruiz, Carlos Javier
AU  - Eggers, Till
AU  - Klukas, Christian
AU  - Navarra-Mestre, Ramon
PY  - 2022
DO  - 10.1016/j.aiia.2022.09.004
SN  - 2589-7217
AB  - Performing accurate and automated semantic segmentation of vegetation is a first algorithmic step towards more complex models that can extract accurate biological information on crop health, weed presence and phenological state, among others....
LA  - eng
TI  - Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation
TY  - journal article
ER  -