Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation

By rest-user, 18 October, 2023
Authors
Picon A., Bereciartua-Perez A., Eguskiza I., Romero-Rodriguez J., Jimenez-Ruiz C.J., Eggers T., Klukas C., Navarra-Mestre R.
Year
2022
IWM Tactic
SENSING TECHNOLOGY
DOI
10.1016/j.aiia.2022.09.004
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139369521&doi=10.1016%2fj.aiia.2022.09.004&partnerID=40&md5=4494bfe713a4727f391840579e232e93
Country
Spain
Crop
ARABLE CROPS
Description of Tested Tactic
Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation
Description of Reference System
NO REFERENCE
Reference System Type
DON'T KNOW
IWM Pillar
Monitoring and evaluation
Availability
Free