AGRIS - International System for Agricultural Science and Technology

Data Collection from Buried Sensor Nodes by Means of an Unmanned Aerial Vehicle

2022

Cariou, Christophe | Moiroux-Arvis, Laure | Pinet, François | Chanet, Jean-Pierre | Technologies et systèmes d'information pour les agrosystèmes (UR TSCF) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Université Clermont Auvergne (UCA)


Bibliographic information
Publisher
HAL CCSD, MDPI
Other Subjects
Unmanned aerial vehicle; Wireless underground sensor networks; Evolutionary algorithms; [sde]environmental sciences; Environmental monitoringinternet of underground things; [sdv]life sciences [q-bio]; Zigbee; Lora; [info]computer science [cs]
Language
English
License
info:eu-repo/semantics/OpenAccess
ISBN
0008397197000
ISSN
1424-8220, 03749384, 35957483
Type
Info:eu-Repo/semantics/article; Journal Articles
Source
ISSN: 1424-8220, Sensors, https://hal.inrae.fr/hal-03749384, Sensors, 2022, 22 (15), pp.5926. ⟨10.3390/s22155926⟩

2024-01-18
Dublin Core